Tessera
Compliance-native AI systems integration.
Tessera is Ioma Labs' applied practice: the governance, security, and audit infrastructure required to deploy AI in regulated and mission-critical environments. In our architecture, compliance is structural — policy enforcement, output validation, and audit logging are built into the orchestration layer itself, not added after the fact. Every model interaction is validated, routed, and recorded end to end.
541511 · 541512 · 541715 · 518210
Custom programming, systems design, R&D, and data processing scope.
SAM.gov underway
UEI and CAGE code pending. Structured to slot into existing contract vehicles with minimal friction.
Core competencies.
We are seeking to team as a subcontractor to prime contractors on federal and defense AI integration scope. Our founding team combines full-spectrum AI engineering with direct experience inside prime contractor organizations on large federal infrastructure programs.
AI orchestration & systems integration
Multi-agent pipelines that run parallel specialist models — intent, safety, knowledge retrieval, memory — and merge outputs through a governed state engine. A model-agnostic connector framework integrates with existing enterprise and government systems without vendor lock-in.
Compliance & governance layer
Policy enforcement embedded in the routing layer: structured output validation, a flag-and-route system that intercepts high-risk outputs before delivery, and configurable rule sets tailored to each organization's regulatory obligations.
Security-first architecture
Prompt-injection and bypass mitigation designed into the orchestration router rather than filtered downstream. Modular deployment supports air-gapped, on-premise, and hybrid environments where external API dependencies are unacceptable.
Auditability & persistent state
A complete audit trail of every agent output, state change, retrieved fact, and final response, retained for accountability and after-action review. A persistent state engine maintains user and mission context across sessions.
The shape of a deployment.
Tessera sits between the people who ask and the systems that hold the answers. Every interaction crosses the governed layer — validated on the way in, validated on the way out, recorded in full. Data stays in place.
FIG. 2 — Tessera deployment topology. DASHED LINES — endpoints your systems already expose
What sets the practice apart.
Governance is architecture, not a plugin
Most AI integrators bolt compliance onto a finished system. We design the enforcement, validation, and audit layer first and build outward from it.
Modular and model-agnostic by design
Components can be swapped as newer models are released — supporting the rapid model-refresh cadence and modular open systems approach the Department is now prioritizing in AI procurement.
Everything is auditable
Every interaction produces a reviewable record: inputs, specialist agent outputs, state changes, retrieved sources, and final responses.
Built for teaming
A small, senior technical team with low overhead, structured to execute defined AI integration scope inside a prime's existing contract vehicle and delivery schedule.
Aligned with current defense AI priorities.
The architecture was designed around the direction defense AI procurement is moving.
- Modular Open Systems Architecture (MOSA). Component-level modularity with documented interfaces supports third-party integration and component replacement at commercial speed, consistent with the Department's 2026 AI strategy emphasis.
- Rapid model adoption. A model-agnostic orchestration layer allows newly released models to be evaluated and integrated quickly without re-architecting the surrounding system.
- AI/ML-specific security. The design anticipates the AI security framework directed by the FY2026 NDAA (Sec. 1513) — prompt injection, adversarial manipulation, and unintentional data exposure.
- Auditability and oversight. Full-lifecycle interaction logging supports the accountability, traceability, and human-oversight expectations applied to AI in federal environments, consistent with the NIST AI Risk Management Framework.
- Cybersecurity posture. Internal practices are being aligned to NIST SP 800-171, with a CMMC Level 2 readiness roadmap in step with the phased rollout now flowing down from primes to subcontractors.
Representative commercial work.
AI-integrated network design platform
A visual infrastructure design tool spanning physical hardware topology and virtual network layers, with a custom AI copilot built natively into the platform — design assistance and configuration recommendations in real time.
AI-automated outreach & lead pipeline
A fully automated lead generation and outreach pipeline with AI integrated at every stage, configurable in-platform and operating with minimal human intervention end to end.
End-to-end acquisition pipeline systems
Automated client acquisition systems integrating data, workflow logic, and communications — full-system design and delivery rather than isolated components.
Multi-agent orchestration architecture
Active development of a multi-agent AI orchestration architecture with embedded compliance governance, persistent state management, and modular integration. External architecture review and production-readiness validation in progress.
Leadership.
Daniel Dilan
Co-founder & CTO
Full-spectrum AI systems engineer. Designs and ships end-to-end AI-integrated pipelines, from model orchestration and embedding architecture through production-deployed software, and leads all platform architecture and technical delivery.
Michael Musilli
Co-founder & CEO
M.S., Civil Engineering. Experience within prime contractor organizations supporting the acquisition and execution of multi-billion-dollar federal infrastructure programs. Leads business development, teaming, and contract engagement.
Teaming & engagement.
Ioma Labs is available for subcontract and teaming roles on active or upcoming pursuits, including:
- Subcontract fulfillment of AI integration scope — architecture, build, and delivery of machine learning and agent-based systems.
- Compliance, governance, and audit layers for AI systems in regulated environments.
- Security-focused orchestration infrastructure — output validation, bypass and injection mitigation, and full audit logging.
- Teaming agreements on federal AI modernization and digital transformation pursuits.
- Rapid prototyping and pilot engagements demonstrating governed AI deployment within an existing program.
Two efforts, one discipline.
Ioma Labs runs a research system and an applied practice from the same root conviction — that an AI deployment you cannot audit, correct, or govern is not deployable where it matters. They're deliberately separate.
Resonance
Our from-scratch, feedback-trained memory and language system — no pretrained model inside, every belief grounded, auditable, and correctable by construction. Built, hardened, and live; now being taught.
Tessera
The same discipline applied to the AI systems organizations run today: governance, validation, and audit built into the orchestration layer. Available now, as subcontract and teaming engagements.
YOU ARE HERE
Have AI scope to fulfill?
Tell us the program, the vehicle, and the mission it serves, and we'll scope how Tessera slots in. Government and defense inquiries welcome.