Verida designs and builds advanced AI systems - across energy, maritime and security, and industry - plus the prototypes, AI workflows, and reporting that put them to work, with strong engineering and an Azure-first path to production.
Member of NVIDIA InceptionWhat we build
We help teams scope, build, and ship software with AI where it improves speed, quality, or leverage. Each service starts with a clear brief and ends with a concrete result.
Best fit
For teams that need a working MVP before funding a larger build.
Scope includes
Result
You get a usable prototype and a clear decision on the next stage.
Best fit
For teams that want AI in delivery without losing quality or control.
Scope includes
Result
Your team ships faster with a workflow a technical lead can trust.
Best fit
For teams that need one operational view across APIs, sheets, and internal tools.
Scope includes
Result
Leadership gets one clear view instead of exports and manual checks.
Best fit
For leadership reviewing external IT, data, AI, or cloud delivery in Poland and CEE.
Scope includes
Result
You see where cost, risk, and vendor dependency can be reduced.
Best fit
For companies that need a credible website before sales, hiring, or investor conversations.
Scope includes
Result
Visitors understand the offer quickly and know why to get in touch.
Many fronts
One small, senior team, building production-grade AI wherever the problem is hard enough to be worth it. The same engineering discipline carries from one domain to the next.
Forecasting, virtual sensors, and reliability for distributed energy.
Sensor fusion, anomaly and dark-vessel detection, counter-UAS.
Grounded GenAI, adaptive work instructions, traceability.
Decision memory and evidence-linked candidate scoring.
Reporting systems and commercial web presence.
Leadership
Verida is owned and run by its three founders. The same people scope the work, sign it off, and stay accountable after launch.
CEO
Chief Executive Officer
Company direction, delivery scope, and client accountability.
CTO
Chief Technology Officer
Architecture, engineering standards, and the Azure-first production path.
CCO
Chief Commercial Officer
Commercial strategy, client relationships, and partnerships.
Selected work
Alongside client delivery we design and build our own advanced AI systems and validate them on real-world data. Each one takes on a problem most teams call too hard.
Energy & grid
Forecasting and virtual sensing for distributed energy where real sensors are sparse or noisy: a physics-informed model with calibrated, conformal uncertainty, deployable to the edge and the cloud.
Industrial knowledge
Turning fragmented operational know-how into trustworthy, traceable guidance on the line: grounded GenAI that retrieves, gates, and refuses to guess, with full provenance and an audit trail.
Maritime & security
A vendor-neutral decision layer over any sensor picture: cross-domain contradiction and anomaly detection - dark vessels, spoofed tracks, counter-UAS - with calibrated confidence and machine-checkable signed provenance, exported on open standards.
Recruiting memory
A recruitment memory product focused on reusing candidate knowledge, evidence-linked scoring, and prior evaluation context.
Visit sHRarkMaritime insight
A maritime insight platform using operational data and APIs to support vessel-related decisions.
Visit ShipMotion IQWe define the first scope, delivery shape, runtime, and review standard before work expands. Clients see what is being built, how it is checked, and how it can run after launch.
The first step defines deliverables, acceptance criteria, dependencies, and the next commercial decision.
AI is used inside delivery, but code review, testing, and release discipline stay in place.
Projects are shaped for Azure hosting in Verida's environment or in the client's tenant when ownership matters.
API boundaries, identity, permissions, and reporting access are designed where the project touches sensitive or shared data.
Claims stay verifiable.
Verida keeps its message factual: office presence, founder-led delivery, product work, commercial execution, Azure-first deployment, and disciplined engineering.
Start with a brief
Choose the service in the form, describe the business goal, and Verida will reply with the questions, scope, and delivery shape needed to move forward.