Author: Axonis

HebronSoft and Axonis Partner to Deliver Secure AI for Healthcare and Industrial Enterprises

Full-stack engineering expertise meets Axonis’ secure AI platform to operationalize compliant AI across regulated and distributed environments

ARLINGTON, MA / ACCESS Newswire / March 4, 2026 / Axonis, developer of federated AI solutions and HebronSoft, a U.S.-based software engineering company with development labs in Eastern Europe specializing in secure full-stack development, artificial intelligence (AI) and nearshore delivery, today announced an elite-level partnership that brings intelligence directly to enterprise data.

Through this partnership, HebronSoft will design, build, and deploy Axonis AI solutions across healthcare, life sciences, industrial automation, and critical infrastructure sectors in the U.S., Europe, and the Middle East. The collaboration combines HebronSoft’s end-to-end engineering expertise with Axonis’ secure, federated architecture, enabling enterprises to operationalize AI without compromising governance, cybersecurity, or intellectual property protections.

Addressing the Real Barriers to Enterprise AI

Healthcare systems and clinical research organizations manage vast volumes of sensitive patient and research data across distributed environments. Life sciences firms rely on shared datasets across partners and global sites. Industrial enterprises operate across facilities, suppliers, and data centers, where operational data cannot be easily centralized without introducing risk.

The HebronSoft-Axonis partnership addresses these realities by enabling AI to operate securely where data already resides, reducing exposure while preserving governance boundaries and data sovereignty.

“Healthcare, life sciences, and industrial enterprises are under pressure to modernize with AI, but they cannot afford uncontrolled data flows or loosely governed implementations,” said Kostiantyn Polosukhin, CEO of HebronSoft. “We see organizations concerned about cybersecurity, governance, intellectual property protection, and data quality. Axonis addresses these challenges at the platform level by enabling secure AI directly where data lives. HebronSoft ensures that the applications built on top of that platform are engineered with discipline, senior expertise, and secure development frameworks. Together, we deliver AI that is not experimental but production-ready and responsibly deployed.”

AI Designed for Healthcare, Life Sciences, and Industrial Automation

HebronSoft sees an immediate opportunity in data-intensive sectors where AI must be defensible.

In clinical research and life sciences, organizations must analyze and collaborate on sensitive datasets across hospitals, research institutions, and pharmaceutical partners. AI can accelerate insight, but only when privacy safeguards, regulatory compliance, and secure collaboration frameworks are embedded into the architecture.

In industrial and automation environments spanning infrastructure providers, global supply chains, and intelligent facilities, data is inherently distributed. AI systems must integrate across these environments without disrupting operations or introducing cybersecurity vulnerabilities.

Engineering Discipline Meets Secure AI Architecture

As AI development accelerates globally, enterprises face a growing risk: rapidly generated code, inconsistent implementation standards, and architectures not designed for long-term governance. HebronSoft brings veteran engineering leadership, structured DevOps processes, and embedded security practices to ensure that AI-powered systems are durable, auditable, and scalable.

Axonis complements that expertise with an architecture purpose-built for secure model training and inference across distributed data environments, enforcing policy at the data layer and reducing the need for risky data movement.

“Enterprises in healthcare and industrial sectors don’t need more AI experimentation; they need trusted implementation partners,” said Todd Barr, CEO of Axonis. “HebronSoft understands the operational realities of regulated environments. Together, we’re giving organizations a way to deploy AI that respects governance boundaries, protects intellectual property, and supports real-world collaboration across distributed systems.”

Together, HebronSoft and Axonis provide enterprises with a practical path from AI strategy to secure implementation, combining platform innovation with engineering execution.

Request a confidential 20-minute executive briefing on how Hebron and Axonis can operationalize AI in your organization.

About HebronSoft

HebronSoft is a U.S.-based software engineering company with development labs in Eastern Europe, specializing in secure full-stack development and enterprise-grade implementations. The company provides turn-key solutions consolidating best practices of full-stack, DevOps, cloud infrastructure management, data engineering, and artificial intelligence expertise to organizations across healthcare, industrial automation, and technology sectors. HebronSoft is committed to engineering rigor, cybersecurity discipline, and responsible technology development.

About Axonis

Axonis brings AI to the data, wherever that data lives. Originally developed inside a US government solutions provider to the U.S. Department of Defense and Intelligence Community, Axonis enables secure, real-time AI on production, operational, sovereign, and edge data without moving the data. Axonis accelerates time-to-AI value while providing zero-trust, data-level security, and enabling cross-organization AI collaboration without sharing data.

For more information, visit axonis.ai.

Press Contact
Kristin Canders
207-974-7744
kristin@grithaus.agency

SOURCE: Axonis

View the original press release on ACCESS Newswire

March 4, 2026
Axonis Decision Intelligence Establishes Trust and Ownership in AI-Assisted Decisions

Operationalizes human-in-the-loop AI-assisted decisions through a secure system-of-record that captures real-time decision traces and context

ARLINGTON, MA / ACCESS Newswire / February 24, 2026 / Axonis, developers of the federated AI infrastructure platform that enables enterprises to run AI directly on distributed, sensitive, and real-time production data, today announced Axonis Decision Intelligence, a new platform capability that enables enterprises to operationalize AI-assisted decision-making at scale by capturing and preserving the full context behind how decisions are made in a living system of record. While AI systems have become adept at generating answers, recommendations, and predictions, they lack a reliable way to explain how a specific decision was made in a given situation, particularly when data spans multiple systems, teams, and policies. Axonis Decision Intelligence closes this gap by providing enterprises with the guardrails required to connect AI output to accountability, while maintaining ownership of valuable context and human-in-the-loop accountability.

“To operationalize AI at scale, enterprises need more than answers; they need a trusted decision workflow that they own,” said Todd Barr, CEO of Axonis. “Every time a member of your team works with AI, they’re creating valuable context around how decisions are made, which data matters, and how judgment is applied. In the enterprise, that context is institutional knowledge and often trade secrets. You would never give away your dashboards or decision logic to a third party, yet that’s effectively what happens when AI-assisted work lives outside your control. Axonis Decision Intelligence ensures the intelligence created through AI-assisted decisions remains an enterprise asset that can be trusted, defended, and reused.”

Axonis Decision Intelligence is built on Axonis’ AI-native federated architecture, which brings AI to the data rather than centralizing sensitive information. The platform operates across cloud, on-prem, edge, air-gapped, and intermittently connected environments, enforcing security, policy, and access controls where data already lives. With this release, the company also introduces Axonis enterprise federated MCP, its secure, federated implementation of the Model Context Protocol (MCP).

Because Axonis sits directly in the execution path where data is accessed, policies are evaluated, and actions are taken, it can capture the full decision context as it unfolds. This structural position allows Axonis to record decision traces in a real-time context graph, rather than reconstructing them later through logs or ETL pipelines.

“Modern application development is hitting a ‘trust wall’ where the speed of AI output is outstripping an enterprise’s ability to govern it,” said Paul Nashawaty at theCUBE Research. “Our research shows that while 2025 was the year of AI experimentation, 2026 is the year of accountability. Axonis is addressing the critical missing link in the stack: a living system of record that treats the ‘why’ behind a decision as a durable asset. By embedding the Model Context Protocol (MCP) into a federated architecture, Axonis isn’t just making AI faster; they are making it auditable and sovereign, which is the only way highly regulated industries will ever move from AI pilots to full-scale operational reality.”

Axonis Decision Intelligence: Always-On Context Artifacts
As professionals increasingly work with AI systems as thought partners, each interaction generates valuable decision context. That context is fragmented across chats, dashboards, and external AI tools, leaving it unowned, unmanaged, and difficult to protect. Axonis Decision Intelligence addresses this gap by capturing every AI-assisted decision as a first-class object, creating a durable record of how the decision was formed.

Barr elaborates, “When a decision is made, the context behind it shouldn’t disappear. In Axonis, every AI-assisted decision becomes an object that captures the data sources used, the interaction with the AI, and the human judgment applied. Because that context spans the federation, it remains connected to reality over time. That’s what it means to have always-on context, and it’s essential for trusting AI in real operations and creating better business outcomes.”

Enterprise AI-Assisted Decision-Making at Scale

Axonis Decision Intelligence provides an intuitive, fully customizable role-aware interface designed for everyday decision-makers. Operators, analysts, clinicians, case managers, and risk professionals can review evidence, apply judgment, and formally attest decisions, creating an explicit record of who approved what, and why. Security and governance are enforced automatically in the background.

Axonis enables AI assistants to assemble relevant evidence and insights across systems, while human decision-makers apply judgment and formally attest outcomes. Axonis captures the full decision context, data, reasoning, and approval, creating a durable record that can be reviewed, defended, and replayed over time.

Secure Model Context Protocol

Axonis extends MCP beyond basic connectivity into an enterprise-grade control plane that governs how agents access data, invoke actions, and contribute to decisions, while enforcing security, policy, and accountability at every step.

Unlike standalone MCP deployments that require organizations to bolt security and governance on afterward, Axonis embeds MCP directly into its federated AI platform. Every agent interaction flows through Axonis’ secure backend, where data-level security, attribute-based authorization, and role-aware access controls are applied consistently across humans, models, and agents. There is no implicit trust between tools, systems, or workflows, ensuring that AI-assisted actions operate strictly within enterprise policy.

Built for Every Enterprise: Retail, Supply Chains, Finance, Health, Government

Axonis federated architecture allows enterprise organizations to deploy AI agents across teams and functions using a single governed interface, while also supporting environments with strict compliance, data sovereignty, and regulatory requirements. Because Axonis operates directly on distributed data where it lives, enterprises can scale agent-based intelligence without centralizing sensitive information or exposing proprietary data.

For more information about Axonis Decision Intelligence, please visit: https://axonis.ai/decision-intelligence.

Download the press kit here | Watch Axonis Decision Intelligence Explainer

About Axonis
Axonis brings AI to the data, wherever that data lives. Originally developed inside a US government solutions provider to the U.S. Department of Defense and Intelligence Community, Axonis enables secure, real-time AI on production, operational, sovereign, and edge data without moving the data. Axonis accelerates time-to-AI value while providing zero-trust, data-level security, and enabling cross-organization AI collaboration without sharing data.

For more information, visit axonis.ai.

Press Contact

Kristin Canders
207-974-7744
kristin@grithaus.agency

###

SOURCE: Axonis

View the original press release on ACCESS Newswire

February 24, 2026
T2S Solutions and Axonis Partner To Deliver Secure, Distributed AI with Data-Level Security for Defense and Intelligence Communities
Elite-level partnership combines Axonis’ military-grade federated AI architecture with T2S Solutions’ trusted expertise in mission-critical operations

ARLINGTON, MA / ACCESS Newswire / January 22, 2026 / T2S Solutions, a veteran systems integrator supporting the U.S. Defense, Space, and Intelligence Communities, and Axonis, the federated AI solutions provider, today announced an elite-level partnership to deliver secure, distributed AI solutions for the most demanding defense and intelligence environments. Through this partnership, T2S Solutions will architect and deploy Axonis DoD-hardened, federated AI infrastructure that “moves AI to the data,” bridging data silos while preserving defense-grade security and compliance across air-gapped, intermittently connected environments, enabling customers to:
- Modernize operations with AI while maintaining absolute data sovereignty
- Deliver AI-assisted human decision support at the tactical edge, in disconnected operations, and in highly controlled environments (with Axonis Decision Intelligence)
- Support secure collaboration of intelligence across organizations, commands, and agencies without exposing raw data
- Meet the most stringent compliance, security, and governance requirements
“For over 15 years, T2S has worked alongside customers who operate under the highest levels of security and operational pressure,” said Robert Reichelmann, CTO of T2S Solutions. “What we’ve learned is that the biggest barrier to AI adoption isn’t the model, it’s the data architecture and the governance required to activate the data safely. Axonis federated AI enforces security at the data level, enabling AI to run where the data resides. We look forward to bringing Axonis’ trusted, governed AI platform to mission-critical environments.”

Axonis was originally developed within T2S Solutions to meet requirements for AI activation in highly constrained, high-security environments where every action must be governed and auditable. The pressure-tested platform enables users to move from experimentation to operational deployment quickly by training, fine-tuning, and running inference on governed production data in place. Security is applied at the data level, governing how AI models access, transform, and learn from data. Agentic AI systems and chat interfaces operate strictly within authorized boundaries.

“Axonis’ AI advantage comes from enabling organizations to use all of their data,” said Todd Barr, CEO of Axonis. “Axonis was built to fully leverage AI on distributed, sensitive, production data, so teams can move faster from insight to decision and gain real competitive advantage without compromising security or control. T2S understands this reality and has the operational expertise to deploy Axonis at scale in the most demanding environments.”

For more information about TS2 and Axonis AI solutions, including its “defense-in-depth” approach to data security, please visit https://www.t2s-solutions.com/products/axonis/

About T2S Solutions

T2S Solutions is a trusted systems integrator with more than fifteen years of experience delivering mission-critical systems for the U.S. Defense, Space and Intelligence Communities. With deep expertise across space, PNT, ISR, C2, cybersecurity, and AI/ML, T2S is known for compliance rigor, cleared operations, and execution in highly regulated environments.

About Axonis
Axonis brings AI to the data, wherever that data lives. Originally developed inside a US government solutions provider to the U.S. Department of Defense and Intelligence Community, Axonis enables secure, real-time AI on production, operational, sovereign, and edge data without moving the data. Axonis accelerates time-to-AI value while providing zero-trust, data-level security, and enabling cross-organization AI collaboration without sharing data.

For more information, visit axonis.ai.

Press Contact
Kristin Cander
207-974-7744
kristin@grithaus.agency

SOURCE: Axonis

View the original press release on ACCESS Newswire
January 29, 2026
Axonis Emerges From Stealth With Federated AI Architecture That Brings AI to the Data, Names Todd Barr as CEO
Incubated for DoD & Intelligence use cases, startup announces commercial availability of enterprise AI platform, delivering the fastest path to secure production AI

ARLINGTON, MA / ACCESS Newswire / December 10, 2025 / Axonis, the federated AI infrastructure platform that enables enterprises to run AI directly on distributed, sensitive, and real-time production data, today emerged from stealth with a production-ready architecture that brings AI to any data, wherever it lives. The company also announced the appointment of Todd Barr as Chief Executive Officer. Barr, formerly of Red Hat, Chainlink, and GitLab, will lead Axonis as it commercializes its DoD-hardened architecture for the enterprise market. Barr joins technical founders David Bauer, PhD, and Chris Yonclas, distributed systems and AI/ML experts for the US Army, DARPA, and multiple US government cloud, intelligence, and digital transformation initiatives.

Axonis leadership: Todd Barr, CEO; Aimee D’Onofrio, COO; Chris Yonclas, Co-founder & CPO; David Bauer, PhD, Co-founder & CTO

The Axonis platform introduces a new architectural model that brings AI to the data, eliminating the need for data migration or duplication and delivering secure, immediate, and scalable AI for training, fine-tuning, and deploying models across cloud, on-prem, and edge environments. Axonis complements and protects existing cloud and data lake investments by providing a parallel path that enables organizations to act on raw, real-time data immediately, without slowing down or rethinking their centralization strategy.

As Barr leads Axonis into its commercialization phase following two years of incubation within a US government military contractor (T2S Solutions, part of the Madison Dearborn portfolio), the company is now fully independent and positioned to address one of the biggest barriers in AI adoption: operationalizing AI on data that is too fragmented, regulated, or mission-critical to move.

“Enterprises are quickly realizing that the real barrier to AI isn’t modeling; it’s getting AI models into production,” said Matt Norton, Partner and Head of Technology & Government at Madison Dearborn. “Axonis solves this problem at the architectural level, and Todd has the go-to-market experience to bring that solution to market at scale.”

Data Centralization: Where AI Works in Theory, Not Practice

Enterprises continue to struggle with taking models from proof of concept to production because some of their most valuable data-transactions, customer data, logs, sensor streams, images, and other real-time signals-cannot be moved to a centralized environment. Regulatory constraints, cost, latency, and operational risk make traditional data centralization strategies slow, expensive, and often impossible to fully achieve. As a result, AI adoption stalls at the exact moment organizations attempt to deploy models into mission-critical workflows.

Axonis Architecture: Bring AI to the Data

Axonis solves this production bottleneck with a federated AI architecture that executes models directly where data is generated and governed. Instead of moving terabytes of sensitive data, Axonis moves lightweight models, enabling:
- Training, fine-tuning, and inference on live production data
- Streamlined ELT at runtime for both training and inference
- Real-time intelligence across distributed, centralized, and edge environments
- Secure execution without creating new data copies
- Model collaboration across organizations without sharing raw or sensitive data
This model-to-data approach dramatically reduces data movement, improves model freshness, and unlocks up to 12x faster time-to-AI value.

“After the ChatGPT-style quick wins, enterprises are realizing that they have an architecture problem standing in the way of true business transformation with AI,” said Barr. “Axonis delivers a secure, AI-ready architecture for data and AI compute that will underpin and unlock the business transformation possible by GenAI and agents, without having to run a big IT data centralization project to get there.”

Engineered for Defense, Built for Enterprise Scale

Axonis’ architecture originated inside T2S Solutions to support the U.S. Department of Defense and Intelligence Community, where systems must operate under extreme constraints:
- Intelligence must be close to the data
- Data security is survival
- Connectivity is limited or intermittent
- Data is chaotic and everywhere
- Every action must be governed and auditable
These requirements shaped Axonis into a high-assurance platform that meets and exceeds the security, sovereignty, and operational demands of industries such as healthcare, financial services, insurance, manufacturing, critical infrastructure, and the public sector.

“We’ve spent the better part of six years engineering the AI architecture in Axonis that will support environments where failure isn’t an option,” said David Bauer, Chief Technology Officer and technical co-founder of Axonis. “Those same capabilities-distributed execution, zero-trust security, and model-to-data design-are exactly what enterprises now need to safely and reliably run AI in production.”

Built to Integrate, Designed to Collaborate

Axonis is a cloud-native enterprise solution that fits seamlessly into existing enterprise data and AI ecosystems, including Snowflake, Databricks, MinIO, Iceberg, Jupyter, and leading AI frameworks. The platform also unlocks a new model of cross-organization collaboration: teams can share intelligence without sharing or pooling data, allowing each party to benefit from federated learning while keeping sensitive information fully protected. Because Axonis applies security at the data level, even agentic AI systems and chatbots cannot access or act on information they are not authorized to see, bringing a new level of control and data protection to enterprise AI deployments.

About Axonis
Axonis brings AI to the data, wherever that data lives. Originally developed inside a US government solutions provider to the U.S. Department of Defense and Intelligence Community, Axonis enables secure, real-time AI on production, operational, sovereign, and edge data without moving the data. Axonis accelerates time-to-AI value while providing zero-trust, data-level security, and enabling cross-organization AI collaboration without sharing data.

For more information, visit axonis.ai.

Press Contact

Kristin Canders
207-974-7744
kristin@grithaus.agency

###

SOURCE: Axonis

View the original press release on ACCESS Newswire
December 10, 2025