AI development that holds up in production
Tech Virsa builds AI systems for real products: retrieval chatbots grounded in your data, agents that take actions with a human checkpoint, and computer vision that works on messy real-world images. We measure accuracy before and after, because that number is the deliverable.
AI systems we build
Each of these goes to production with tests, monitoring and a clear owner.
- RAG chatbotsAssistants grounded in your documents or website that say "not in my sources" instead of inventing answers.
- AI automation botsBots that handle repetitive work end to end: enquiries, data entry, document processing, follow-ups and reporting.
- AI agents & automationSystems that take actions through tool calls, with approvals wherever an error would be expensive.
- Computer visionDetection, recognition, OCR and inspection on real images, benchmarked before and after.
- Evaluation & monitoringTest sets before launch and dashboards after, so quality does not quietly degrade.
- Machine learning & dataModels, pipelines and analytics that turn raw data into decisions.
AI automation bots for everyday operations
Many teams lose hours to work a bot can do reliably: answering routine customer questions on the website or WhatsApp, pulling data out of emails and PDFs into your systems, chasing approvals and payments, and compiling reports. We build these bots around your existing tools, keep a person in the loop for anything expensive to undo, and log every action so you can see exactly what the bot did.
Start with a bounded discovery, not a guess
Most AI work cannot be priced honestly until someone tries it on your data. We start uncertain AI projects with a fixed-cost, time-boxed discovery or prototype that ends in a clear go or no-go. You keep the code and the findings either way.
AI on an existing product
Much of our AI work goes into products that already exist: adding a grounded assistant to a platform, rebuilding a model that underperforms, or automating a manual workflow. We work inside your codebase and your process.
AI Key-Recognition System
Computer-vision module rebuild
40% → 80%
recognition rate
A property-tech product identified scanned keys only 40% of the time. We rebuilt the computer-vision module and recognition rose to about 80%.
How a project starts with Tech Virsa
- 01
Scope and fit
Send a few lines about the work. A senior engineer reviews whether we can do it and replies, usually within one business day. You get the approach and price in writing before anything starts. That is a fit review, not a free architecture specification.
- 02
A bounded first step when needed
Clear work can have a fixed quote after scoping. Uncertain AI work often starts with a scoped discovery or prototype, so nobody is guessing at a price.
- 03
Delivery and review
The people writing the code own the reviews. You see progress in the repository and in the check-ins we agreed, not a separate weekly performance.
- 04
Handover and support
Handover includes the code, how to run it, and the access you need. What we keep maintaining after launch is written into the quote. It is not assumed.
AI development questions
How do you stop an AI chatbot from making things up?
We ground it in retrieval over your sources and design it to refuse when the answer is not in them. Chunking, ranking and refusal are where most of the work goes.
How much does an AI project cost?
Uncertain AI work usually starts with a fixed-cost, time-boxed discovery or prototype, so nobody guesses at a full price. Clear work can have a fixed quote after scoping.
Can you improve an AI model we already have?
Yes. For example, we rebuilt a computer-vision module for a property-tech product and raised key recognition from 40% to about 80%.
Related services
Talk to Tech Virsa about AI development
Send a few lines about the work. A senior engineer usually replies within one business day, with the approach and price in writing before anything starts.