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[ AI engineering for the real world ]

Turn business problems into intelligent systems.

From AI agents and generative AI to computer vision and custom software, we design technology around the work your business actually needs to improve.

Discuss your project See selected work
[ AI agents ] · [ Computer vision ] · [ Custom software ]

We start with the workflow, data, users and intended outcome. Then we choose the technology.

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[ 01 / 05 ] AI Agent Development

From answers to action.

Task-focused agents and multi-agent workflows that use your tools, data, and approval rules.

  • Customer support agents
  • Lead qualification
  • Knowledge retrieval
  • Document processing
Explore AI Agent Development

[ 02 / 05 ] Generative AI Development

Knowledge becomes an interface.

Secure generative AI products connected to useful context, business rules, and real workflows.

  • Enterprise assistants
  • AI copilots
  • RAG applications
  • Knowledge-base assistants
Explore Generative AI Development

[ 03 / 05 ] Computer Vision

Turn visual data into action.

Vision systems that detect, track, classify, and analyze objects, people, vehicles, and events.

  • Object and person detection
  • ANPR / ALPR
  • Tracking and zone analytics
  • Footfall and dwell-time analysis
Explore Computer Vision

[ 04 / 05 ] Machine Learning

From history to foresight.

Business-specific models that predict, classify, recommend, detect anomalies, and support decisions.

  • Forecasting
  • Classification
  • Recommendation engines
  • Anomaly detection
Explore Machine Learning

[ 05 / 05 ] Custom Software

Great software around the intelligence.

Web platforms, APIs, dashboards, and cloud systems that turn AI capabilities into complete products.

  • SaaS products
  • Enterprise applications
  • Business portals
  • API development
Explore Custom Software
10Services across AI and software
06Industries we design for
03Deployment models: cloud, on-premise, edge
05Steps from discovery to deployment

[ The Vesmir Code approach ]

We don't sell AI because AI is popular. Sometimes the right answer is an agent. Sometimes it is computer vision, machine learning, or simply better software.

How we work

Selected engineering work

Built to move beyond the slide deck.

Privacy-safe prototype demonstrations showing how we approach applied AI work. They are not presented as client deployments or measured business results.

Synthetic Neo Vision interface demonstrating vehicle detection and zone analytics01
Privacy-safe product concept

Neo Vision

A modular video-intelligence concept for vehicle detection, zone analytics, event review, and operational dashboards.

Computer visionZone analyticsWorkflow design
Synthetic garment-analysis interface identifying shirt landmarks02
Prototype demonstration

Garment Intelligence

A visual workflow concept that identifies garment landmarks and prepares images for structured measurement.

Keypoint detectionMeasurementRetail
Synthetic document-analysis interface demonstrating layout and signature-presence detection03
Prototype demonstration

Document Intelligence

A privacy-safe document-analysis concept for locating layout regions, tables, checkboxes, and signature presence.

Document AIDetectionExtraction

How we work

From business challenge to production system.

01

Discover

Understand the business problem, users, workflow, data, constraints, and desired outcome.

02

Define

Turn the opportunity into a focused scope, technical approach, and measurable success criteria.

03

Prototype

Validate high-risk assumptions with a proof of concept or focused MVP before scaling.

04

Engineer

Build the product, models, integrations, APIs, dashboards, and infrastructure as one system.

05

Deploy

Test, release, monitor, and improve the solution in the environment where it will be used.

Common questions

Can you integrate AI into our existing software?+

Yes. AI capabilities can often connect to existing websites, mobile apps, databases, CRM or ERP systems, and internal tools through APIs and custom integrations.

Do you build complete products around the AI?+

Yes. We can build the frontend, backend, APIs, databases, dashboards, cloud infrastructure, and integrations required to turn an AI capability into a usable product.

Can solutions run on-premise or at the edge?+

Where the selected technology supports it, architecture can be designed for cloud, on-premise, edge, or hybrid deployment based on project requirements.

How does a project start?+

We begin with a discovery conversation about the business problem, current workflow, available data, users, constraints, and intended outcome. From there, we recommend a practical next step.

Start with the problem

Tell us what you want to build, automate, or improve.

Technical details are optional. We'll help identify the right approach and a practical next step.

Discuss your project