Vonar AI Start a project

A drawing of a Vonar field node. It opens finished, taking in data from the field, then is taken apart from the top: the sensors, networks, software and cloud and operations lift away, down to AI and data, a disc of connected nodes fed by records, readings and phone calls from many sources.

The system

Built on AI and data.

We put AI to work inside government systems, and build those systems modular and open, to MOSA and SOSA, so every part can be replaced, upgraded and proven.

Vonar AI Inc. · UEI MU9YZL34ZB83 · CAGE 13GP2

The Vonar stack

One system, built from the core up.

AI & data · Cloud · Software · IoT networks · Sensors

From signals and data to systems and actions.

Vonar AI takes in the data your agency already has, puts AI to work on it, and builds the systems underneath on open, modular architecture.

Sensors & field instruments

Measure what matters, where it happens.

We specify, integrate and verify sensors and the processing behind them, to the SOSA Technical Standard where the program calls for it, and prove each one against the measurement the mission needs.

  • SOSA sensor integration
  • Sensor selection & specification
  • Bench test & verification

Sensors & research systems

IoT networks & connectivity

Every reading, delivered.

Radio links and gateways built around what a site supports — LTE, LoRa or satellite — on open, documented interfaces, so every reading arrives timestamped and checked, and you know when one doesn’t.

  • LTE & radio gateway design
  • Open, documented interfaces
  • Device fleet management

Software & integration

Modernize the systems people use.

We replace manual handoffs and aging systems with portals, case management and APIs that put answers from the core in front of the people who act on them — connected to the platforms you already run through open, published interfaces, so no single part locks you in.

  • Legacy modernization
  • Modular open architecture (MOSA)
  • Integrations — ServiceNow, Microsoft 365

Cloud & operations

Infrastructure you can review.

The core runs on repeatable environments on AWS GovCloud or Azure Government, with reviewable releases, security checks and monitoring in one operating plan — then support with service levels after launch.

  • Infrastructure as code
  • Pipelines & observability
  • Managed services & help desk

The core — AI & data

AI and data at the core.

Records, readings and sensor feeds arrive from every system you run. We ingest them into clean data you own, then put AI to work on it: models, agents and automations that flag problems, route work and brief the people who decide, with approved sources, clear thresholds and a person in the loop.

  • AI strategy & readiness
  • Data ingestion & pipelines
  • AI implementation & agents
  • Automations & audit trails

Modular open systems · AI implementation

Integration is where programs slip. We design it in.

MOSA asks for modular systems with open, published interfaces, so one part can be replaced or upgraded without rebuilding the rest. SOSA brings the same discipline to sensors. We build to both from the first design review, and put AI to work inside the systems we build.

Integration by assumption

  • Interfaces live in documents nobody tests, and surface at the integration event.
  • Every upgrade is a new contract with the original vendor.
  • AI is a pilot bolted onto the side of the system.

Integration by design

  • Interfaces are defined, versioned and tested from the first sprint.
  • Modules swap and upgrade on open, documented interfaces.
  • AI runs inside the system, on its data, with an audit trail and a person in the loop.

MOSA

Open architecture transition

Break vendor lock-in one interface at a time: modular design, open interface definitions, and a transition plan that keeps the program running while it changes.

SOSA

Sensor open systems integration

Sensors, processing and data acquisition integrated to the SOSA Technical Standard where the program calls for it, and verified on the bench before they are fielded.

AI

AI implementation

From readiness to running: data pipelines, models and agents deployed inside your boundary, evaluated against your mission, and handed over with documentation.

Program offices
Modular designs, open interfaces and the documentation a MOSA review asks for.
Primes & subs
A senior engineering workstream for integration, AI and sensors, scoped and reported your way.
Component vendors
Your component’s interfaces documented and integration-tested against the standard it targets.

Approach

Know what happens next.

01 · Initial briefing

Discuss the mission

Share the users, constraints and work that needs to change.

02 · Discovery

Define the work

Review the architecture, delivery plan and acceptance criteria.

03 · Delivery

Build and review

Inspect working increments and resolve questions with the engineers.

04 · Deployment

Prepare the handover

Validate readiness, train the team and document how to operate.

05 · Operations

Keep it running

Continue with agreed service levels or transition to your team.

Procurement

Scope the work. Choose the right agreement.

A defined project

A focused AI strategy, discovery, pilot or implementation with the technical approach, deliverables and pricing prepared for your procurement review.

Start a project

A teaming workstream

For prime contractors: a defined engineering workstream with clear responsibilities, reporting and delivery artifacts.

Discuss teaming

A services agreement

For commercial work: a master agreement and statements of work, fixed-price or time-and-materials.

Start a project
Entity
Vonar AI Inc.
UEI
MU9YZL34ZB83
CAGE
13GP2
Service levels
Published SLA
Capability statement
Download PDF

Platforms and technologies

Built on the platforms you already trust.

Partners

NVIDIA Inception

NVIDIA Inception Program

Vonar AI is a member of NVIDIA Inception, NVIDIA’s program for startups building with AI.

Before we start.

Where can I find your registration details?

Vonar AI Inc. uses UEI MU9YZL34ZB83 and CAGE 13GP2. Use these identifiers to look up the current SAM.gov entity record. Our capability statement summarizes the company and service areas.

Do you work to MOSA and SOSA?

Yes. We design to the Modular Open Systems Approach from the first design review: modular components, open and documented interfaces, and a transition plan away from vendor lock-in. We integrate sensors to the SOSA Technical Standard where a program calls for it. What conformance a program needs is scoped up front and verified as part of the work.

Can we start with discovery or a pilot?

Yes. A focused engagement can establish requirements, test an approach, or define a delivery plan. We agree on the scope and acceptance criteria before work starts.

Can you work under a prime contractor?

Yes. We can take a defined engineering workstream under subcontract, with deliverables, reporting, and responsibilities agreed with the prime.

Can you work in our existing environment?

Yes. We plan the work around your tools, access requirements, and deployment environment. The team is based in the United States; on-site needs are agreed during scoping.

What happens after delivery?

The handover includes the agreed documentation and training. Ongoing operations, maintenance, and support can be scoped separately with defined responsibilities and service levels.

What should we bring to the first conversation?

A short description of the problem, who uses the system, and any known deadlines or technical constraints. If you have a statement of work or procurement requirements, bring those too.

Start with what needs work.

Bring the system, the stalled workflow, or the measurement challenge. We will talk through the constraints and a useful next step.