AI Tooling, Data & MLOps

Goldman Sachs and other Wall Street firms upgraded their views on Palantir Technologies in early October 2026, citing accelerating demand for sovereign AI, bespoke applications, and its verticalized AI platforms across government and commercial customers. At the same time, Palantir and Armada announced a partnership to deliver sovereign AI on modular data centers manufactured in the U.S. and allied nations, reinforcing Palantir's pitch that customers can keep models, data, and infrastructure entirely within their own security perimeter. Palantir's narrative projects $23.0 billion revenue and $10.2 billion earnings by 2029, requiring 55.2% yearly revenue growth and about a $7.2 billion earnings increase from $3.0 billion today, and yields a $195.57 fair value, a 6% downside to its current price. By contrast, the most bearish analysts assumed revenue of about US$17.9 billion and earnings of roughly US$6.4 billion by 2029, with slower margin expansion and higher competitive pressure potentially muting the impact of deals like the Armada sovereign AI stack.

Datadog shares jumped 6.6% in the afternoon session after CIBC boosted its outlook and lifted its price target on the cloud monitoring company while reiterating an Outperform rating. CIBC analysts cited accelerating revenue growth and a stronger overall performance trajectory as the primary drivers behind their updated bullish view. The move came amid a broader rebound across the artificial intelligence sector, as technology and SaaS shares recovered from the previous day's AI-driven selloff sparked by an underwhelming revenue update from OpenAI. Datadog is up 118% since the beginning of the year and, at $291.35 per share, has set a new 52-week high. The stock's previous big move came 14 days ago, when it gained 5.9% after Wedbush initiated coverage with an Outperform rating.

KONST, a Taiwan-based next-generation AI compute operator, has raised $30 million in Series B funding led by ADATA Technology, with strategic participation from MMobility, Pegatron Venture Capital, and several other corporate investors. The company said it will use the proceeds to scale up its AI data center buildout across Asia and accelerate its Token Factory strategy, which treats compute as production equipment and tokens as its output. That strategy rests on three layers: Konstra AI handles compute supply, from site selection and mechanical, electrical, and environmental control systems through GPU cluster tuning and operations; Glows.ai provides the conversion layer, breaking cluster compute into smaller units billed per second; and Horizon AI's (k) ATP Token handles governance and delivery, letting enterprises connect to every authorized model with a single project key and track usage through audit logs. KONST said the round's principal investors come from memory and storage, electrification solutions, and electronics manufacturing, while other participants span energy, semiconductors, and thermal management. Co-founder and chairman Ben Chang said the round is about more than the amount raised, adding that once AI becomes part of operations, computing power becomes essential infrastructure rather than a one-time project expense.

Vision Capital Fund initiated a new position in Datadog, Inc. (NASDAQ:DDOG) during the third quarter of 2026, according to its Q3 2026 investor letter. The fund, which delivered a +14.4% net return in Q3 2026 against the S&P 500's +2.3%, said it added the position to capture secular growth in cloud observability and custom AI silicon. Datadog closed at $273.80 on October 08, 2026, with a $98.31 billion market capitalization, a 105.89% year-to-date gain, and a 52-week range of $98.01 to $292.72, on $3.97 billion in trailing twelve-month revenue. Vision Capital described Datadog as the leading AI-powered observability and security SaaS platform for cloud applications, noting its unified platform combines metrics, traces, and logs and has expanded horizontally to 26 products. The fund added that Datadog outspends its peers in research and development by 2X, and that 92 hedge fund portfolios held the stock at the end of the second quarter, up from 80 in the previous quarter.

UiPath was named a Leader in The Forrester Wave for Adaptive Process Orchestration in a recent 2026 report. The automation provider also expanded its collaboration with BDO USA to build AI-driven internal audit solutions for corporate clients, and deepened its integration with Snowflake to target advanced governance and automation capabilities for large enterprise customers. Both partnerships push UiPath deeper into high-value, data-heavy workflows such as internal audit, compliance, and governed analytics, which can increase stickiness and make it harder for large enterprises to switch away. The Forrester recognition and these alliances align with the narrative that UiPath wants to act as an AI control plane, with agentic orchestration and partnerships driving deeper customer use, though they do not yet answer questions about AI pricing pushback or how quickly new agents translate into annualized recurring revenue. The clearest test will be upcoming disclosures on annualized recurring revenue mix and large deal activity, especially references to Snowflake, BDO, and Test Cloud on Oracle Marketplace in customer win examples.

Progress Software raised its full-year 2026 guidance and reported higher year-on-year quarterly earnings in late September and early October 2026, while rolling out new AI and data capabilities across its Progress Agentic RAG platform and the recently acquired Domo and ShareFile Enterprise offerings. The company also continued its share repurchases, a combination that suggests it is leaning on integration-led growth and capital allocation to reinforce its software and AI platform positioning. The upgraded Agentic RAG release deepens the AI glue across Progress's stack as Domo and ShareFile Enterprise expand, making it easier to connect existing knowledge, collaboration tools and live business systems into AI agents. Progress Software's narrative projects $1.3 billion in revenue and $75.7 million in earnings by 2029, requiring 8.4% yearly revenue growth and a $16.7 million earnings decrease from $92.4 million today, and yields a $56.20 fair value, a 47% upside to its current price. The biggest current risk is whether integrating Domo and scaling newer SaaS offerings can be done without diluting the group's high 30s operating margin framework, as rising cloud and AI compute costs could still pressure margins.

A comprehensive industry report showing infrastructure service spending more than doubled in the third quarter sent shares of Palantir Technologies, Doximity, Snowflake, and Teradata sharply higher. According to data from the latest ISG Index, commercial contract value surged 63% to reach $52.5 billion during the third quarter, driven by strong tailwinds in artificial intelligence workloads. The dramatic increase in enterprise commitments led industry researchers to upgrade their full-year growth projection for XaaS, or Anything-as-a-Service, to 60%. Cloud infrastructure providers and IT service vendors are reaping substantial financial benefits as organizations move beyond experimental AI trials into large-scale production environments requiring massive computational power and dedicated hosting capabilities. Among the movers, Palantir Technologies jumped 2.2%, Doximity jumped 4.1%, Snowflake jumped 2.6%, and Teradata jumped 2.2%.

Hexaware Technologies announced a multi-year partnership with Anthropic under which it becomes a Preferred Partner in the Claude Partner Network, bringing Claude to the core of its AI-native platforms. The deal embeds Claude in two Hexaware platforms: Zerovity, its AI-native engineering platform, and AgentVerse, its agent build and governance platform with more than 600 pre-built agents, to deliver outcome-based services across IT operations and software engineering. Hexaware said it has more than 1,100 Claude-certified professionals and will expand Claude training across its delivery teams, while the two companies pursue go-to-market work, joint solution development and customer deployments. Clients can engage either through Hexaware's Zero Friction Enterprise offerings, which target technical debt, security vulnerabilities, backlogs, support tickets, process bottlenecks and license costs, or by connecting their development tools directly to the Zerovity harness, which applies token optimization and in-built software delivery agents. The alliance builds on Hexaware's existing relationship with Anthropic, including authorization to resell Claude through Amazon Bedrock.

Factory announced that Connor Maloney has joined as Head of Federal to lead the company's expansion into the public sector. Maloney previously served as Vice President of Federal at Rubrik, began his career as a Federal Civilian Program Manager at the Department of War, and built and led teams at ServiceNow and DataRobot. Factory CEO and cofounder Matan Grinberg said Maloney's focus on whether technology actually gets into use and whether teams support it years later is the approach he wants as the company builds its federal business. The company's platform, used by organizations including NVIDIA, EY, and RBC, is built on model independence, sovereign intelligence, and continual improvement, and supports public cloud, private cloud, and government deployments including on-premises and fully air-gapped installations. The hire follows Factory's recent opening of offices in Japan and the closing of a $200 million funding round at a valuation of $5 billion.

The Big Data Institute, or BDI, under the supervision of the Ministry of Digital Economy and Society, has unveiled its operational direction as it enters its fourth year, aiming to elevate the country's data infrastructure so that it is interconnected and genuinely usable, alongside extending the Thai-language artificial intelligence technology ThaiLLM and developing the Data and AI workforce. Mr. Kulit Sombatsiri, Chairman of the Big Data Institute, disclosed at the event BDI Day 2026: Big Data for a Resilient Thailand that the Prime Minister's Office Regulation on Digital Data Sharing B.E. 2569 and the Strategic Plan for Driving the Utilization of Big Data B.E. 2568-2570 will serve as key mechanisms in establishing a framework for systematically linking government data. BDI aims to become the National Data Backbone through the Data Integration and Intelligence Platform, or D2, a platform for linking and analyzing big data and part of the National Data Backbone, to support systematic, standards-based and security-conscious data sharing among agencies. Professor Dr. Theeranee Achalakul, Director of the Big Data Institute, said that the operational direction for B.E. 2570 under the concept Data Backbone for a Resilient Thailand, connecting data to be ready for the future, will focus on developing mechanisms so that data from various agencies can be linked, exchanged and used for decision-making efficiently. It will also press ahead with projects that apply Data and AI to real-world problems, namely Travel Link, Health Link, Envi Link and PD Link, as well as workforce development through a Micro-credential approach, the THackle project and Hackathon activities. On the artificial intelligence front, BDI plans to further develop ThaiLLM in B.E. 2570, aiming to elevate the Thai language model to cover more of the country's contexts, including gathering dialect data, making it easier to access and experiment with, and developing benchmarks for data extraction and personal data detection, which ties into the concept of AI Sovereignty. The event also featured the presentation of a draft action plan for developing the national artificial intelligence ecosystem for B.E. 2570-2575 under the vision Intelligent Nation – Built. Trusted. Useful, which emphasizes four pillars: infrastructure, trustworthiness, workforce development and value creation from AI.

The U.S. Department of War has designated Palantir Technologies' Maven Smart System as a formal program of record, expanding the company's defense sector role into the fourth quarter of 2026. The designation reinforces the portion of Palantir's investment thesis that relies on consolidated U.S. defense work and long-lived contracts, though it also sharpens the risk of dependence on shifting government priorities. Separately, Palantir CEO Dr. Alex Karp will keynote alongside Zeta Global's CEO at Zeta Live 2026 in a joint session on data sovereignty and AI integration, spotlighting how Palantir's AI infrastructure is being woven into Zeta's customer intelligence platform for enterprise clients. The two developments together support the view that production-grade AI platforms are becoming non-optional for governments and large enterprises. Palantir builds software platforms used by intelligence and defense agencies in the US, the UK, and other markets.

Apollo GraphQL introduced Apollo GraphOS Agent Services, giving AI agents secure, governed and auditable access to an enterprise's systems and APIs. Built on GraphOS, Apollo's platform for connecting and orchestrating enterprise APIs, Agent Services sits between AI agents and enterprise systems, translating each agent request into the right API calls, brokering credentials, and enforcing field-by-field controls with no LLM in the judgement loop through new search, identity, policy, and audit capabilities. GraphOS today orchestrates more than 2 trillion operations monthly after more than a decade of production use, and Intuit is live in production with GraphOS and piloting Agent Services in preview, joining American Airlines, Block, and Expedia Group at Apollo Summit 2026. Apollo also expanded the GraphOS MCP Server into a full suite of agent-ready tools for building and managing the graph, and announced GraphOS Router 3.0, now in preview, which on typical workloads will spend 95% less time on query planning compared to Router 2.0, with more than 300x improvement on planning time and up to 97% less memory usage in the most complex graphs. Apollo's library of Skills has grown to 14 skills with more than 47,000 installs, and the GraphOS Operator for Kubernetes can now centrally deploy and manage the Apollo MCP Server alongside other GraphOS infrastructure. The announcements were unveiled at Apollo Summit, the world's largest GraphQL event, running Oct 6-8 in San Francisco.

LocalStack announced the public beta of LocalStack for Azure, a local cloud development platform for developers and AI agents building applications for Microsoft Azure. The launch marks LocalStack's third offering, following its AWS and Snowflake products, which the company says are trusted by more than 1,500 organizations with more than 18 million weekly active user sessions worldwide. LocalStack for Azure uses Microsoft Azure cloud service APIs to emulate how applications will behave once deployed, running as a lightweight container on the customer's private infrastructure so teams can test against a local cloud environment without live cloud credentials or provisioning delays. Co-founder and CTO Waldemar Hummer said the company has seen strong demand to bring the LocalStack experience to Microsoft Azure as AI agents change how software teams build and test cloud applications. Common use cases include autonomous agentic AI sandboxes, single-tenant developer sandboxes, and CI/CD automation, with the company noting that many cloud environments take 15 minutes or longer to provision when pushing code updates.

Innodata Inc. is expanding its data-collection pipeline by scoping a multilingual speech program spanning seven languages, part of the company's progression from individual pilots toward enterprise-scale multimodal programs. During the second quarter, Innodata completed successful egocentric data-collection pilots with leading robotics companies, and its broader multimodal opportunities include the seven-language speech program alongside a separate, roughly 2 million-hour egocentric data program it hopes to secure following successful pilot results. In the second quarter the company also delivered training data aimed at extending the reasoning capabilities of state-of-the-art models across five frontier labs and five domains. Whether the seven-language speech opportunity turns into revenue growth will likely depend on converting the scoped program into a commercial engagement and scaling delivery. Innodata shares have climbed 30% so far this year, compared with an 18.1% rise for the industry, while Palantir Technologies has gained 8.1% and C3.ai has declined 16.6%; the stock trades at a forward 12-month price-to-sales multiple of 5.23 versus an industry average of 2.39, and the Zacks Consensus Estimate for 2026 earnings per share has remained unchanged in the past 30 days, with projections indicating a 28.3% rise in 2026.

Snowflake raised its fiscal 2027 product revenue guidance to $6.07 billion, implying 36% year-over-year growth, up from its previous outlook of $5.84 billion and 31% growth. The company's fiscal second-quarter product revenues rose 37% to $1.49 billion, accounting for 96% of total revenues, and fiscal third-quarter product revenues are expected between $1.588 billion and $1.593 billion, indicating 37-38% growth. Snowflake ended the second quarter of fiscal 2027 with 14,554 total customers, up 32% year over year after adding 692 net new customers, while 828 customers generated more than $1 million in trailing 12-month product revenues, up 27% year over year. The company's AI products contributed roughly half of the recent acceleration, with CoCo surpassing 9,100 accounts and CoWork expanding to 5,800 accounts, up nearly 11% sequentially. The Zacks Consensus Estimate for fiscal third-quarter revenues is $1.65 billion, indicating 36.11% year-over-year growth, with earnings pegged at 60 cents per share, up 71.43% year over year, while the stock trades at a forward 12-month Price/Sales of 15.83X versus the Internet Software industry's 4.44X.

ThinkingAI, which builds autonomous growth software for consumer and gaming companies, has opened its analytics, engagement and agent stack to game studios that buy software with a card instead of a procurement cycle, offering four self-serve plans priced from $0 to $999 a month. The Free tier costs $0 and includes 2 million events a month, 1 project, 1 seat, 12 months of data retention and $10 in Agent Credits for the first month, with no credit card required. Starter costs $199 a month for 5 million events, 2 projects, 5 seats, 24 months of retention and $25 a month in Agent Credits, while Pro costs $399 a month for 10 million events, 2 projects, 10 seats, 48 months of retention and $50 a month in Agent Credits. Team costs $999 a month for 30 million events, 3 projects, 15 seats, 60 months of retention and $100 a month in Agent Credits, and an Enterprise tier is sold by agreement with sales for larger studios with compliance or data residency requirements. Annual billing saves 20%, paid plans are billed through Stripe and can be cancelled at any time, and a studio that outgrows its event allowance moves up a plan inside the product with no re-instrumentation and no migration. The plans follow ThinkingAI's Sept. 16 launch of the Agentic Engine and draw on 10 years of behavioral data across more than 1,500 enterprises and 8,000 applications, including Sega, Krafton, Habby, Century Games, Xiaomi, Yostar, TCL and FunPlus, and are being announced at the ThinkingAI Agentic Game Growth Summit in Istanbul, co-hosted with Mobidictum.

Atlassian Corporation announced the launch of its Forward Deployed Engineering program, which embeds senior applied AI engineers directly into customer environments to deploy production-ready AI solutions. The program targets a gap between AI adoption and business impact: while 85% of knowledge workers use AI, only 6% of executives can point to clear, organization-wide ROI, according to Atlassian's report Leading with Context: Lessons from Atlassian's AI Journey. Avani Prabhakar, Chief People and AI Enablement Officer at Atlassian, said the company is seeing 50% higher AI adoption in engaged accounts as a result of embedding engineers with customers. In Atlassian testing, grounding AI agents in the Teamwork Graph produced answers that were 44% higher quality while using 48% fewer tokens. Expedia used the program to archive 600,000 pages across Confluence and save approximately 3,200 hours annually, with engineering teams now running 10,000+ agent invocations each month across 50 live projects, while Reddit is partnering with the engineers to accelerate its enterprise AI transformation. Engagements typically run 12 weeks, and Atlassian is also releasing The Atlassian Forward Deployed Engineering Playbook.

Atlassian announced AMP: The Agentic Multiplayer Protocol at its Team '26 Europe conference, a new protocol that lets AI agents work alongside human teams in the flow of work. AMP gives agents context, identity, and governance, allowing them to participate through @mentions in Confluence, Jira comment threads, or Loom video briefs, while the Atlassian MCP Server pulls in context from third-party tools like Figma or IDEs. Every agent under AMP has a clear owner and distinct profile, appearing in real-time presence bars and cursors alongside human teammates, and agents are grounded in the Teamwork Graph, which now connects more than 250 billion objects and relationships. Atlassian also introduced a new Atlassian MCP Server, which now has nearly 2 million monthly active users and handles over 15 million daily tool calls, a 15x jump in six months, using up to 25% fewer tokens for the same Jira and Confluence work in internal benchmarking on Claude models. The company said it has shipped over 120 enterprise capabilities during the last year, with people and agents now working together more than 10 million times a month, and announced new capabilities including Agent Sessions, Non-Human Identities, Record for Agent, and Interactive PR Reviews.

ServiceNow President and COO Amit Zavery said the company remains bullish on enterprise AI demand and continues to beat and raise all its financial metrics. Speaking with Haslinda Amin on the sidelines of Token2049 in Singapore, Zavery said ServiceNow's growth rates have accelerated and that its AI-native product portfolio, including AI Control Tower, AI Workflow Factory, Autonomous Engineer and the recently launched Flow, is driving adoption. He dismissed concerns that customers are insourcing software, saying building software is usually just 20% of the cost of running and operating enterprise software, and that large language models account for less than 8 to 10% of ServiceNow's technology stack. Zavery said recent acquisitions, including Armis and Vectra, have made ServiceNow the eighth largest cyber security vendor in the world and augment rather than mask its core business, which he described as very strong. He said the company's plan to reach $30 plus billion dollars in the next three years remains on track, and that ServiceNow will stay product-led while continuing to look at acquisitions that extend its capabilities.

Ampersand announced a $15 million Series A led by Bessemer Venture Partners, with participation from existing investors Matrix and Flex Capital, to build integration infrastructure that lets agentic applications read and write inside legacy systems of record such as CRM and ERP platforms. New investors in the round include Yelp, Tenacity Capital, CTO Fund, Mana Ventures, and prominent angel investors, and Bessemer Partner Lauri Moore will join Ampersand's board. The company also announced the beta release of Andi, its AI integration agent that helps developers with the implementation work required to run their products in each customer's environment. Ampersand was founded by Ayan Barua, formerly CTO and co-founder of Siftery and VP of Engineering at G2, and Lauren Long, who built Firebase Extensions at Google; the two spoke with more than 100 companies building integrations before writing Ampersand's first line of code. Moore said connecting an agent to a system of record is a demo, but keeping that connection alive across hundreds of customers, with writes you cannot afford to get wrong, is much harder, and that is what Ampersand is building.

Lovelace, the Pittsburgh-based context engine for enterprise agents, announced that R.V. Guha, creator of RSS, RDF, and Schema.org, has joined its Strategic Advisory Board. Guha spent nearly two decades at Google, where he was named a Google Fellow and founded Data Commons, then served as Technical Advisor to the CEO at OpenAI before joining Microsoft, where he conceived and developed NLWeb. On the board, he will advise Lovelace on technical strategy and on how enterprises and AI agents can reliably access and reason over connected knowledge at scale. Guha joins founding members Diane Greene, Lieutenant General H.R. McMaster, Philip Moyer, and John M. Donovan on the board, which was formed in August 2026 to guide Lovelace's growth and business strategy with a focus on finance, defense, and other high-consequence environments. Lovelace, founded in 2023 by Andrew Moore, provides enterprise-scale context engines that analyze trillions of data points to build knowledge graphs for autonomous agents.

Railtown AI Technologies Inc. announced the launch of a native Railtracks Agent Development Kit for Swift and a new Swift SDK for Railengine, bringing its agentic application infrastructure directly into the development ecosystem used to build applications across Apple platforms. The Railtracks ADK for Swift gives Swift developers native building blocks for creating agentic applications, including agents, tools, orchestration, workflows and multi-agent systems, while the Railengine Swift SDK provides a contextual intelligence layer that retrieves personally identifiable information from iCloud while keeping it in the data layer. Railtown is also extending its observability technology into the Swift development lifecycle, and its Conductr platform extends that accountability model into production through centralized agent observability, error analysis and root cause analysis. "AI becomes much more powerful when it understands the context around us, but that cannot require giving up control of our personal information," said Marwan Haddad, Co-Founder and CTO of Railtown AI. CEO Cory Brandolini said bringing Railtracks and Railengine to Swift is an important step toward giving developers the infrastructure to earn trust in reliability, privacy, security and accountability.

ServiceNow announced AI Workflow Factory and Autonomous Engineer, solutions that discover where AI can improve work and deliver one unified way to build, run and extend AI workflows across the enterprise. Announced in India at World Forum Mumbai, the launch reinforces India's role as a key market for governed, enterprise-wide AI transformation, with ServiceNow's partner ecosystem in India adopting AI Workflow Factory and deploying new developer capabilities including unattended coding for autonomous planning, building and testing of implementation work. AI Workflow Factory is a continuous workflow improvement loop that connects Process Mining, Autonomous Engineer and Build Agent, and App Engine, all governed by AI Control Tower, so that each outcome reveals the next opportunity for multi-process improvement. Amit Zavery, President, Chief Operating Officer and Chief Product Officer of ServiceNow, said AI Workflow Factory brings the full cycle of reinvention onto the ServiceNow platform so teams can move from idea to impact continuously with control and governance built into every step. ServiceNow cited its 2026 Enterprise AI Maturity Index showing enterprise AI investment in India grew 119% in a single year, one of the strongest showings among the markets surveyed. AI Workflow Factory is globally available today, while Autonomous Engineer Early Access is available on request.

Meta Platforms launched its first personal AI agent, Muse, on September 8, and the app reached 1.1 million installs roughly 10 days after launch, surpassing ChatGPT's 2022 debut, according to Apptopia app analytics. Within days of release, Muse jumped to number one on the Apple App Store and Google Play, and the launch is being framed as the most significant application release so far in the AI revolution. Meta founder and CEO Mark Zuckerberg is now pushing the technology into the enterprise market, and MongoDB CEO CJ Desai has left that company to run Meta's enterprise platform business. Zuckerberg said the new Meta Enterprise Platform will initially bring the full technology stack, including the Muse agent, Meta Business Agent, Muse API and Muse Code, to businesses and developers. Meta spent more than $100 billion on AI investments in 2026, and its shares jumped more than 25% in September, their largest monthly gain in over a decade, though most Wall Street analysts have not yet raised their earnings revisions to reflect the Muse launch. The article also cites a forecast from The Business Research Company that the enterprise AI market will grow from about $40 billion in 2026 to about $164 billion by 2030, a compound annual growth rate of 42%.

Insight Partners, the New York venture capital and private equity firm, is launching the industry's first forward deployed engineering council, with members drawn from Microsoft, Data Bricks, SAP, Service now, Anthropic, Wonderful, one of its own portfolio companies, and others. Operating Partner Pablo Dominguez announced the initiative on Bloomberg Tech, saying the council will share best practices with Insight's portfolio companies and the wider industry. Dominguez cited an IDC report finding that 88% of all AI implementations have not gotten past the POC stage, and said the top five platform companies spent over 9.5 billion dollars this year building their own forward deployed engineering teams. He said the firm sees forward deployed engineers as a way to expand a company's total addressable market rather than add a layer of cost, because the engineers embed with customers and feed each implementation back into the product. Insight Partners, which has backed over 600 companies in its 30 years investing in tech and AI software, will also hold its Scale Up AI conference in New York, with leaders from Anthropic and the CRO president of Data Bricks discussing how that company scaled from 0 to 7 billion.

Thoughtworks announced that Expand Energy, the largest independent natural gas producer in North America, has selected the consultancy as its strategic partner to design and build an enterprise-wide AI capability. The multi-phase engagement covers AI strategy, use case prioritization, machine learning platform implementation, and delivery of a production-ready solution aligned to Expand Energy's long-term strategic priorities. Thoughtworks will lead the work across three connected workstreams: AI strategy and opportunity prioritization, enterprise AI foundations, and solution delivery and enablement. Expand Energy aims to deploy a production solution by the end of 2026, moving beyond isolated pilots toward a coordinated, enterprise-scale approach. Josh Viets, executive vice president and chief operating officer at Expand Energy, said the company chose Thoughtworks for its ability to connect strategy, technology and delivery in a single engagement.

Supabase announced $150 million in new funding led by GIC, with Alphabet's independent growth fund CapitalG, IronArc, and SquarePeg also participating, just four months after the company's $500 million Series F. The company also announced it is acquiring Turso, a platform that lets developers access higher volumes of databases for agentic workloads. Supabase is now adding more than 1M users and 4M databases per month, with 70% of new databases created by agents or AI-driven tools, following a 600% year-over-year increase in databases reported in June. Turso founder Glauber Costa will join Supabase as Head of Agentic Services alongside co-founder Pekka Enberg and the rest of the Turso team, and the Turso platform will continue operations with a clear graduation path into the rest of the Supabase ecosystem. The round will accelerate Supabase's product development around agent-driven databases and provide liquidity for employees.

Banks and financial institutions on Wall Street increased AI-related hiring by 49% this year compared with 2025, reaching 139,819 positions. The fastest-growing skill was Agent Orchestration, which appeared in job postings up 1,721%. Data from Draup, an enterprise hiring analytics firm, compiled exclusively for CNBC, also found rising demand for AI agent development tools, with LangGraph up 679%, LlamaIndex up 291%, and Retrieval-Augmented Generation, or RAG, up 259%. AI governance roles also grew strongly, with postings mentioning Responsible AI up 657%, AI Governance up 394%, and AI-related Risk Management up 359%. Meanwhile, Generative AI manager positions command a median base salary of about 190,000 dollars a year, or roughly 6 million baht a year. Jamie Dimon, CEO of JPMorgan, has spoken of a Huge Redeployment plan, a major reshuffling of staff to adapt to how AI is changing the nature of work.

Palantir Technologies and Armada have entered a partnership to provide sovereign AI infrastructure, a move that could expand Palantir's addressable market across enterprise and government AI deployments. Under the deal, Palantir named Armada its inaugural Certified Modular Data Center Partner, integrating its Sovereign AI Operating System with Armada's Galleon modular data centers. The offering lets customers run and adapt open-weight AI models on infrastructure they own and control, with deployments targeted for completion in months rather than years. Financial terms, contract value, and expected revenue contribution were not disclosed.

SoftwareOne announced it has achieved the AWS Data Competency in the Analytics and Database categories, a validation awarded only to AWS partners with proven customer success and deep technical expertise. The competency recognizes SoftwareOne's work helping customers modernize and run mission-critical database workloads on AWS, including migrating from proprietary licensed engines to open-source alternatives to cut costs and building data lakes and analytics platforms. Gudmundur Adalsteinsson, Chief Channels and Ecosystems Officer at SoftwareOne, said the recognition reflects both sides of how the company helps customers, optimizing and modernizing databases while building the data foundations that AI and agentic AI projects depend on. The achievement builds on SoftwareOne's existing AWS credentials, including the AWS AI Services Competency and AWS Machine Learning Competency, and its participation in the AWS Generative AI Partner Innovation Alliance, bringing its total to 23 AWS Competencies. SoftwareOne, a global software and cloud solutions provider listed on the SIX Swiss Exchange and Euronext Oslo Bors under the ticker symbol SWON, is an AWS Premier Tier Services Partner with a presence in over 70 countries and a team of about 12,000 professionals.

BAG Ventures has closed its inaugural fund, raising $11.3 million for Fund I. The venture capital firm was co-founded by Bonita C. Stewart and Jackson Georges Jr. and invests in pre-seed and seed-stage startups in areas including AI infrastructure, compute, physical and edge AI, vertical SaaS, security, and governance, with check sizes between $100,000 and $500,000. The fund was supported by 150 LPs, including Google, Snowflake, General Motors, Vanguard, Amazon, and NVIDIA, along with participation from the BAG Collective, a community of more than 450 tech operators. Fund I's portfolio includes BizTrip, an AI travel agent, and Nomadic, an agentic reasoning platform that converts footage from autonomous vehicles and robots into structured, searchable datasets.