01Privacy-safe product concept
Neo Vision
A modular video-intelligence concept for vehicle detection, zone analytics, event review, and operational dashboards.
Computer visionZone analyticsWorkflow design
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.
Illustrative workflowExample flow
Business context01
Reason + retrieve + act02
Connect operations03
Human reviewINCLUDED
System integrationPLANNED
Quality monitoringDESIGNED IN
AI agentsGenerative AIComputer visionMachine learningAutomationCustom software
A practical starting point
AI should solve a business problem—not create another technology project.
We begin with the workflow, data, users, infrastructure, security needs, and intended outcome. Then we choose the technology.
How we workCore services
Five focused ways to engage one connected team.
01
Custom AI Development
Custom AI applications designed around your workflow, users, data, and commercial goals.
Explore service 02AI Agent Development
Task-focused agents and multi-agent workflows that use your tools, data, and approval rules.
Explore service 03Computer Vision
Vision systems that detect, track, classify, and analyze objects, people, vehicles, and events.
Explore service 04AI Automation
AI, APIs, and software integrations that connect the tools your team already uses.
Explore service 05Custom Software
Web platforms, APIs, dashboards, and cloud systems that turn AI capabilities into complete products.
Explore serviceSelected 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.
01
02Prototype demonstration
Garment Intelligence
A visual workflow concept that identifies garment landmarks and prepares images for structured measurement.
Keypoint detectionMeasurementRetail
03Prototype 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.
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. Our job is to understand what is slowing the business down and engineer a better way forward.
Common questions
What clients usually ask first.
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