To systematically dismantle this barrier, frontier AI developer Anthropic, alongside private equity titans Blackstone and Hellman & Friedman, announced the formal launch of Ode with Anthropic (“Ode”).

Backed by a massive $1.5 billion consortium of premier global investors including Goldman Sachs, General Atlantic, Apollo Global Management, and Sequoia Capital Ode operates as a “scaled boutique” applied AI services firm. Built on the operational foundation of Fractional AI (acquired in May 2026), the company deploys elite, on-site forward-deployed engineers to structurally rewire core corporate workflows around AI. For the IT Services, Technology Consulting, and Digital Systems Integration industry, this milestone launch redefines the delivery layer—shifting enterprise AI engagement out of isolated sandboxes and moving it into outcome-driven production environments.

Technical Approach: Forward-Deployed Engineers and Multi-Model Optimization

The primary technical differentiator behind Ode is its move away from the traditional model of delivering high-level strategic roadmaps. Instead, the firm focuses on deep, code-level execution. Led by Fractional AI co-founders Chris Taylor (CEO) and Eddie Siegel (CTO), Ode deploys small “special forces” teams of veteran generalist engineers directly into customer environments.

The architectural framework modernizes corporate infrastructure across several core vectors:

Claude-First System Overhauls: Operating in close alignment with Anthropic’s Applied AI team, Ode designs custom retrieval-augmented generation (RAG) environments and agentic systems optimized for Anthropic’s Claude platform.

Workflow Rewiring and Data Grounding: Engineers work directly alongside client subject matter experts to document legacy operational paths and ground models in proprietary corporate knowledge, eliminating the risk of hallucinations in critical logic paths.

Multi-Model Architectural Agility: While executing a Claude-first approach, Ode maintains an open infrastructure. Engineers possess the flexibility to integrate alternative frontier models when a client’s specific operational dependencies require multi-cloud orchestration.

Transforming the IT Services and Technology Consulting Industry

The entry of a $1.5 billion specialized vehicle backed by a multi-trillion-dollar private equity book of business introduces structural disruption across the traditional technology services landscape.

The Threat to Headcount-Driven Consultancies
For decades, the systems integration and enterprise IT services industry relied heavily on linear, headcount-driven commercial structures. When a major corporation initiated a digital transformation, traditional system integrators deployed vast armies of generalist consultants to manually manage the transition over multi-year horizons.

Ode’s “scaled boutique” model challenges this logic. By focusing on small, highly dense teams of elite engineers capable of end-to-end code ownership, the firm compresses implementation timelines from years to months. This puts direct pressure on the high-margin, labor-heavy delivery frameworks of legacy consulting giants, shifting the competitive baseline from body-shopping to rapid, platform-led velocity.

A Natural Portfolio Pipeline for Immediate Scale
Historically, tech consulting startups faced long customer acquisition cycles, spending years pitching enterprise CIOs to win trust. Ode completely bypasses this friction.

By partnering directly with Blackstone, Hellman & Friedman, and Apollo, the firm gains warm access to a combined portfolio spanning hundreds of mature companies across healthcare, retail, infrastructure, and finance. This built-in customer base provides an immediate pipeline for deployment, allowing Ode to scale commercial revenue rapidly while competing consultancies struggle to build equivalent AI pipelines.

Broad Operational Impact on Enterprise Businesses

For mid-market and enterprise organizations looking to deploy generative tools without incurring massive R&D overhead, tapping into an institutional delivery engine introduces distinct commercial advantages.

Mitigating the Risk of Stalled Proof-of-Concepts
Many enterprise organizations are currently caught in “proof-of-concept purgatory” spending significant portions of their technology budgets experimenting with basic AI tools that fail to reach production because they cannot scale safely across legacy corporate systems.

Tapping into a dedicated applied engineering layer allows corporate leadership to bypass this trial-and-error cycle entirely. Custom AI systems can be integrated cleanly into frontline employee interfaces from day one, converting abstract technical potential into a predictable driver of net operating efficiency.

Capitalizing Human Capacity by Automating Back-Office Overhead
In sectors like financial services and healthcare, operational staff are routinely bogged down by immense clerical burdens spending hours manually reviewing prior authorization requests, cross-referencing multi-state compliance updates, and managing messy data entry pipelines.

Offloading these repetitive tracking tasks onto custom-built, context-aware AI agents recovers vital organizational capacity. Corporate teams can step away from administrative bottlenecks and focus their attention on high-value, strategic priorities such as cultivating client relationships, managing risk profiles, and steering product innovation—transforming foundational technology infrastructure into a powerful, confident engine of enterprise scaling and long-term market advantage.

The post Anthropic, Blackstone, and Hellman & Friedman Launch Ode with Anthropic to Bridge the Enterprise AI Execution Gap appeared first on ITDigest.

Also Read: CSI Acquires Qolo to Scale Commercial Banking Infrastructure and Embedded Finance

Highlighting how this integration addresses the strict compliance mandates required to bring generative intelligence to Wall Street, Gabe Rissman, Co-Founder and CEO of Rogo, stated: “Financial institutions sit on vast mountains of proprietary data, but security concerns have historically limited their ability to leverage generative AI. By deepening our integration with Snowflake, we are unlocking the full potential of this data. Firms can now deploy Rogo’s finance-specific AI agents directly where their data lives, accelerating complex workflows like investment screening and market research while maintaining the gold standard of data privacy.” As financial enterprises continue to embrace automated digital transformation, this unified architecture provides the scale, compliance, and domain precision necessary to maximize cross-departmental productivity and optimize investment decision intelligence.

Read More: Rogo and Snowflake Extend Integration to Power AI-Native Finance Workflows

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Also Read: Innovative Solutions Launches Forward Deployed Services for AWS

The platform will not only take the routine operations that normally require backend manual administration, and will make them streamlined and repeatable, but it will also help enterprises stick very strictly to their data governance policies and identity protection. Highlighting the balance between automated simplicity and enterprise security, Jagadeesh Kunda, Chief Product Officer at JumpCloud, stated: “IT teams are trapped in a cycle of manual, repetitive tasks that drain resources and increase the risk of security gaps. JumpCloud Workflows shifts the paradigm, giving IT administrators a powerful, secure, and low-code way to automate their most complex processes without needing dedicated development resources or managing fragile integrations. This is automation built specifically for the reality of modern, multi-OS, and identity-centric IT environments.” By merging scalable workflow automation with zero-trust security controls, JumpCloud delivers a comprehensive operational hub that allows organizations to maximize administrative velocity while confidently reducing corporate risk.

Read More: JumpCloud Launches Workflows To Empower IT Teams With Secure And Simple Automation

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The continuous expansion of a wide variety of satellite communication constellations is giving rise to an extremely complex layout of orbital geometries. Today, s space borne payloads need to manage large volumes of data in real-time between different satellite groups, terrestrial ground stations, and old 5G cellular networks. When such hybrid topologies grow, the systems become more exposed not only physically by signal spoofing and physical tampering but also cyber attacks. The ESA supported project is the introduction of a decentralised verification method that will enhance security of those links that interconnect these different environments.

Embedding Immutable Integrity Across the Orbital Lifecycle

The strategic initiative is funded under the Space for 5G/6G & Sustainable Connectivity program line within the Advanced Research in Telecommunications Systems (ARTES) framework. The core roadmap aims to replace reactive, host-based network defenses with an overarching cryptographically verifiable trust structure.

Also Read: Brightspeed Business Launches 8 Gig Fiber for AI-Driven Workloads 

To build this framework, the engineering teams are synthesizing three advanced technical disciplines:

Decentralized Ledger Architecture: Anchoring immutable tracking records to protect telemetry data streams against unauthorized external modifications.

Autonomous Intelligence Layers: Utilizing advanced artificial intelligence (AI) and machine learning (ML) models to identify anomalous behaviors and intercept cyber threats at machine-level speeds.

Traceable Hardware Verification: Deploying specialized digital calibration certificates across the network footprint to validate hardware integrity from the manufacturing floor to active orbit.

“This program represents a definitive shift toward integrating space-based assets into a secure, unified 5G ecosystem. By anchoring blockchain within our orbital operations, we are creating a transparent validation layer that allows massive IoT networks to scale globally while consistently ensuring security and performance.” Albert Pujol, Chief Innovation Officer at Sateliot

Laying the Infrastructure Foundation for Autonomous 6G Telemetry

The integration of verifiable validation systems directly impacts the long-term design roadmaps for next-generation 6G architectures. Because upcoming 6G applications will rely inherently on dense, non-terrestrial network nodes to achieve global cellular density, automated management centers must operate on completely trusted, tamper-proof operational datasets.

“Supporting this project, which benefits from Keysight’s leadership and Sateliot’s expertise, underscores ESA’s commitment to helping pioneer the technologies required to safeguard the integration of non-terrestrial and terrestrial networks. Together, we’re not only taking a step towards defending Europe’s communications against spoofing and tampering, but we’re also ensuring that our Member States remain at the forefront of secure 5G and future 6G communications.” Antonio Franchi, Head of the Space for 5G/6G & Sustainable Connectivity programme at ESA

“This initiative represents a major step toward securing hybrid space terrestrial networks at a time when global NTN deployments are accelerating. By combining test and measurement expertise with AI-driven assurance and blockchain technologies, this work will demonstrate how trust can be embedded across the full NTN lifecycle from design and validation through in-orbit operation.” Eric Taylor, Vice President, Aerospace, Defense and Government Solutions at Keysight

“Europe is at the forefront of space‑based connectivity and secure telecommunications. This project underscores Keysight’s long‑standing commitment to European sovereignty and innovation leadership.” Thierry Locquette, Vice President of Sales, Europe at Keysight

A Multi-Phase Validation Roadmap Ending in Orbit

The three-year engineering campaign is structured to advance methodically from early-stage laboratory modeling and software emulation environments to field validation. The research phase will culminate in a comprehensive in-orbit demonstration utilizing a live Sateliot spacecraft. This live test environment will actively validate the performance of the blockchain trust architecture under realistic orbital dynamics, high-speed telemetry routing, and atmospheric propagation constraints.

By successfully demonstrating deterministic data verification in deep space, the project aims to accelerate commercial market adoption for secure, space-based IoT arrays while cementing international telecommunication sovereignty. Telecom operators, satellite hardware engineers, cloud developers, and enterprise risk officers can review the structural testing specifications and track active mission development milestones by visiting the companies’ dedicated space-infrastructure portals.

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The rollout eliminates a long-standing operational bottleneck for modern software developers. While generative AI coding tools have significantly accelerated application and website creation, provisioning the underlying domain infrastructure remains a heavily fragmented, manual process. Traditionally, engineers have had to halt their development loops, exit their code editors, navigate to a browser-based registrar portal, and execute multi-step registration and configuration sequences by hand. The new platform resolves this friction by embedding these operations directly into the environments where software is actively written.

“AI is fundamentally changing how software is created and the infrastructure behind the internet has to evolve with it,” said Travis Muhlestein, chief technology officer of product AI at GoDaddy. “Our Developer Platform now connects GoDaddy domain services directly into developer tools, giving our customers, whether they have one domain or thousands, the ability to complete the entire domain lifecycle. The result is faster domain search, purchase and configuration – going from idea to a live online presence in minutes.”

Also Read: Port Unveils Industry’s First Vibe Coding Experience for Platform Engineering 

Programmatic Control and Agentic Guardrails for Internet Infrastructure

The GoDaddy Developer Platform unifies domain logistics by exposing deep programmatic hooks designed to interact smoothly with local terminals, continuous integration pipelines, and Large Language Model (LLM) workflows.

The software architecture introduces five core components to optimize infrastructure provisioning:

Unified Domain APIs: Provides end-to-end programmatic access covering predictive domain search, live name recommendations, volume-specific account pricing, instant procurement, and automated DNS record configuration.

Modernized Authentication Protocols: Employs scoped Open Authorization (OAuth) tokens, enabling developers to delegate highly restricted, precise operational parameters to AI agents without exposing core account credentials.

Deterministic Agent Safeguards: Protects corporate capital through mandatory programmatic check points, requiring explicit price confirmation before transaction execution and strict validation gates for permanent, irreversible domain alterations.

Native Command-Line Interface (CLI): Translates the comprehensive API feature catalog into a fast, terminal-friendly console engineered for both human engineers and the autonomous coding agents operating beside them.

LLM-Optimized Developer Portal: Features a restructured documentation repository specifically indexed for seamless ingestion by AI models, accelerating the path from initial account registration to a successful API call.

Future-Proofing Scalable Domain Operations

The initial release marks a strategic evolution for enterprise teams, digital agencies, domain portfolio managers, and independent creators who manage online properties at scale. By abstracting manual configuration layers into developer-centric interfaces, the system transitions domain registry from an administrative chore into a scalable code asset.

“GoDaddy’s Developer Platform is built for the next generation of builders,” said Muhlestein.

Looking ahead, subsequent deployment phases are expected to expand the platform’s footprint deeper into professional investor mechanics, aftermarket exchange APIs, self-healing automated DNS repair scripts, high-volume bulk tools, and expanded endpoints for GoDaddy’s broader cloud product catalog.

The GoDaddy Developer Platform is live and available immediately as a free tier upgrade for technology teams worldwide. While existing enterprises running legacy API frameworks can continue daily operations without operational interruption, they retain the flexibility to migrate to the new beta environment at any time. Software engineers, platform architects, domain investors, and agency leads can download the native CLI, evaluate the programmatic documentation, and initialize automated domain registration by visiting GoDaddy’s modern developer portal.

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“The vault has become the control point in modern payments,” said Justin Benson, CEO of Spreedly. “More of what determines payment performance now lives in the credential itself, and providers are finally opening up to let merchants own it. Merchants want that control the ability to run the providers they have today and change course tomorrow. An independent vault lets them start now and decide the rest as they grow. They shouldn’t have to commit to everything on day one.”

The launch reflects a structural shift in how payments are built and where their value sits:

• Value has moved into the vault. The vault is no longer passive storage. Network tokenization, Account Updater, and stored-credential optimization increasingly determine authorization rates and payment performance — making the credential, and who controls it, a source of competitive advantage.
• Payment providers are opening up. Providers that once held credentials captive are increasingly supporting merchant-controlled vaults and credential portability, removing a long-standing barrier to adding or switching providers.
• Merchants want to own orchestration. A growing number of merchants want to own the routing and decisioning layer that sits above their providers, rather than delegating that control to any single PSP.
• The next wave is agent-driven. As AI agents begin initiating purchases, merchants that already control portable payment credentials will be best positioned to support them.
• The path forward should stay open. With an independent vault, merchants can preserve that optionality without committing to it prematurely.

Also Read: Conta Azul Taps Oscilar to Manage Fraud Risk as Payments Business Scales

While Spreedly has long offered payment vault capabilities as part of its orchestration platform, merchants can now begin with secure, portable credentials today and expand into additional capabilities over time on the same platform with no re-vaulting required.

Spreedly’s standalone vault includes:

• PCI DSS Level 1 tokenization that keeps raw payment data out of merchant systems
• Portable payment credentials that work across more than 100 payment providers with no processor lock-in
• Built-in network tokenization and Account Updater services that help keep payment credentials current and improve authorization rates
• A direct path to additional payment capabilities on the Spreedly platform without migrating payment credentials

A merchant can adopt the vault while continuing to run a single provider per region, preserving control and optionality. As needs grow, they can build their own orchestration on top of portable credentials, or adopt Spreedly’s, without rebuilding their payments stack.

“A vault shouldn’t lock you into anyone’s roadmap, including ours,” said Mike Rivers, CTO of Spreedly. “When credentials stay portable, a merchant can run a single provider per region today and add routing, orchestration, or new payment methods whenever they’re ready. Portability is what keeps the future open.”

Stored credential transactions now account for 40% of transaction volume across Spreedly’s platform, up from 34% in 2022, reflecting growing demand for payment strategies built around portable credentials rather than a single payment processor.

Source: PRNewswire

The post Spreedly Launches Standalone Payment Vault as Merchants Move to Control Their Own Payment Credentials appeared first on ITDigest.

Tosi Insight was designed in response to changing customer expectations, driven by the fact that operational technology environments are becoming more connected and distributed, making it harder for organizations to monitor and understand their networks. The new tool does not replace current operational or security tools, but adds OT-specific behavioral visibility and context that regular infrastructure monitoring cannot provide.

“Tosi Control answers the question: ‘Is everything connected and operating?’ Tosi Insight answers the next question customers ask: ‘What is happening across my OT environment?'” said Sakari Suhonen, CEO of Tosi U.S. “Together they provide organizations with a single platform that connects, visualizes, controls, and now delivers operational intelligence across distributed OT environments.”

Also Read: ALLO Fiber and Connectbase Bring Fiber Opportunities to The Connected World Ecosystem

The launch of Tosi Insight was preceded by an early access program, during which participating companies used the platform to identify undocumented assets, detect unexpected network activity, and maintain visibility into their OT environments, work that previously required significant manual effort. During testing, customers also used the platform’s reporting, traffic analysis, and investigation tools to review network behavior and support faster decision-making.

Key capabilities of Tosi Insight include:

• Continuous monitoring of OT network traffic and communications
• Behavioral anomaly detection and operational intelligence
• Risk-based event prioritization
• Traffic analytics and protocol visibility
• Communication and relationship mapping
• Context-rich investigations with filtering, drill-down analysis, and reporting
• Executive and operational reporting to support decision-making

Tosi Insight is available today as part of the Tosi OT Operations Platform for Professional and Enterprise Tosi Control deployments in the United States, with availability expanding to customers worldwide in the coming weeks.

Source: PRNewswire

The post Intelligent OT Networks with Tosi Insight appeared first on ITDigest.

Flex is built for organizations that need actuarial insight most, including:

• Providers evaluating VBC entry, who need to model contract economics before committing to risk
• Small and mid-sized payors and providers with limited actuarial staff, who require expert-level analytics without the overhead of a full actuarial function
• Providers assessing population risk ahead of a value-based contract, who need clarity on exposure before signing

With Flex, organizations can upload their own data, analyze any population, benchmark performance against national targets, and query results in natural language through the Arbital AI Assistant. The result is actuarial-grade insight delivered in days rather than the months typically required for platform technology implementations or consulting engagements.

Also Read: Auxilium Health Closes Oversubscribed $3.4 Million Seed Round to Advance Its Aer Biomaterial Platform 

“For organizations new to VBC, delayed performance visibility quickly becomes costly,” said Brian M. Overstreet, President and CEO of Arbital Health. “Risk contracts demand proactive, forward-looking insight, not retrospective reporting. Flex gives payor and provider organizations the fastest path to VBC insight available today, so our clients can make smarter risk decisions from day one.”

“Arbital brings a level of actuarial expertise to VBC that is essential for our team,” said Beth Houck, CEO of Sonar MD. “The analytical depth behind the platform reflects years of specialized work in risk contract economics, and Flex makes that expertise accessible instantly. Combined with the fact that we hold the largest IBD dataset in the industry, the foundation for succeeding in VBC specialty models, our team was extracting meaningful insight within days of getting started.”

“There is no other solution like Flex on the market today,” said Jiaming Wang, Head of Product at Arbital Health. “Payor and provider teams have historically had to choose between manual analysis and costly consulting engagements. Flex offers a third option: an AI-enabled, self-serve platform that delivers Arbital’s actuarial expertise in days, not months.”

The complete Arbital AI Platform adds the support of its team of expert VBC actuaries, the same actuaries who built Arbital Flex and have spent decades working inside VBC and complex risk arrangements. The team stays actively in tune with shifting market dynamics, regulatory changes, and emerging cost trends, so the platform evolves with the market rather than chasing it.

Source: PRNewswire

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Build at the speed of AI, governed by the enterprise

Decisions unites the speed of vibe coding to enterprise application development while keeping business logic, data, and workflows securely governed.

Development teams can use AI tools such as Claude Code to rapidly create front-end experiences, while Decisions provides a safe, scalable, and production-ready backend of flows, data, and business rules. Because AI-generated interfaces remain connected to the Decisions’ orchestration layer, organizations can deliver modern applications without creating disconnected systems or exposing critical business logic.

Whether serving as the front end, the backend, or both, Decisions integrates with existing enterprise systems to support governed, end-to-end automation.

“Decisions transforms vibe coding from a weekend experiment into something the enterprise can actually trust,” said Decisions CEO Giles Whiting. “Vibe coding is phenomenal for spinning up front-end experiences at AI speed, but it introduces risk when those AI-generated interfaces get anywhere near production data, rules, and business logic. With our latest release, our customers can use whatever vibe-coding tool they like on the front end, while keeping their core decisions, rules, and data protected behind a governed Decisions backend. They get the velocity of AI-assisted development, without crossing business red lines on control, compliance, and reliability.”

Also Read: Quality Clouds Launches Hub: Enterprise-Grade Governance for AI-Generated Code

The Decisions Deployment Tower: governed deployment, built in

As automation initiatives grow, the hard part is moving solutions safely across environments. Deployment Tower makes release governance part of the platform, connecting planning, validation, and promotion into a single governed lifecycle and making it possible to:

• Understand what’s deployed where, across every environment.
• Trace every deployment back to the originating task (whether managed in Jira, Azure DevOps, or another project management system).
• Govern the movement of changes, with access controls, approvals, and audit built in.
• Control deployments at scale, from a single organization to many.

By importing stories and sprints directly into Decisions and keeping them synchronized, Deployment Tower replaces opaque revision numbers with a clear record of what changed, when, why, and by whom, giving teams in regulated industries a stronger foundation for traceability, governance, and audit.

An upgraded, more intuitive experience

This release also modernizes the entire platform with a cleaner, intuitive interface that reduces visual noise while making complex automation easier to build and manage.

Redesigned rule and truth table authoring improve readability and simplify the management of sophisticated business logic. Updated navigation, consistent design modules, and a new dark mode make the platform easier to learn and faster to build in, without sacrificing enterprise-grade capabilities.

“Teams everywhere want to build faster, but what really changes the game is being able to move quickly and trust every outcome,” said Whiting. “The latest release of the Decisions platform gives customers an even smarter way to create and a more controlled deployment, orchestrating work across people, systems, and AI so the more they build, the more value and confidence they get back from the business.”

Source: PRNewswire

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“We’re moving beyond a world where AI simply responds to prompts,” said Doug Dennerline, CEO of Betterworks. “The next generation of AI will understand what’s happening across your business and proactively surface the insights that need your attention. By giving AI trusted performance intelligence, we’re helping leaders spend less time searching for information and more time coaching their teams, making better decisions, and driving business results.”

Putting Performance Intelligence Into Everyday AI

Many organizations already use AI assistants to prepare for performance reviews, summarize information, and identify workforce trends. Until now, Betterworks data had to be manually gathered before those tools could deliver meaningful insights. Without building custom integrations, exporting reports, or logging into multiple applications, leaders, managers, and HR teams can now simply ask natural-language questions about goals, recognition, team performance, and organizational insights directly from their AI assistant.

Also Read: Gurobi Launches Intelligence Hub to Deliver AI-Guided Workflows Across the Optimization Lifecycle

Managers can simply ask:

• “Help me prepare for my 1:1 with Jordan, including goal progress…”
• “Which of my team goals are at risk this quarter?”
• “Summarize recognition trends across my team.”
• “Create a leadership update highlighting my team and our performance…”

Instead of spending time gathering information, Betterworks helps managers prepare for coaching conversations, identify emerging risks, and generate leadership-ready updates. By making trusted performance context instantly accessible, organizations can move faster, respond sooner, and make more confident talent decisions.

Built for Enterprise Trust

Security remains foundational to the experience. Every interaction respects Betterworks’ existing authentication and native permission model, ensuring users only access the information they already have permission to see. Organizations can confidently extend sensitive performance data into AI workflows without introducing new access controls or compromising governance.

Source: BusinessWire

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