Retrieval assistants
Chatbots grounded in your documents or your public site. The work is in chunking, ranking and refusal — knowing when to say "not in my sources" instead of inventing an answer.
- RAG
- vector search
- grounding
- citations
New — Virsa Lead Bot: AI lead generation on autopilot ↓
Tech Virsa builds AI systems that hold up in production
Tech Virsa ships its own AI-intelligent ERP platform, and we build agents, retrieval assistants and computer vision for other people’s products. Bring a new build, an existing codebase, or a process that needs automating. You work with the engineers doing the work.
- 50+
- projects delivered
- 10+ yrs
- average experience
- 7
- industries served
Ask Tech VirsaLive
Ask me anything about how Tech Virsa works — the ERP platform, services, pricing, timelines, or the projects we shipped. I answer only from this site’s content, and I will say so when something is not in it.
Do you give fixed quotes?
Clear website, app and ERP work can have a fixed quote after scoping. Uncertain AI work often starts with a scoped discovery or prototype instead, so you are not paying a fixed price for an unknown.
retrieved from Engagement modelsA real grounded assistant: it retrieves from this site’s content and refuses anything it cannot source. Yours would answer from your documents.
Teams we have built for
Just launched · our own product
Virsa Lead Bot: wake up to leads that already have a proposal
Finds buyers on 9 platforms, gets the decision maker's email, scores every lead and writes the pitch and follow-ups for you. Set up for software and AI agencies, recruiting and staffing firms, and marketing and ad agencies. It runs every weekday and sends you the hot leads on WhatsApp.
- 9
- lead sources
- 0–100
- lead scoring
- 3×
- touches per lead
- 50+
- projects delivered
An AI-intelligent ERP that runs operations, not just records them
We built and ship a complete SaaS ERP with an automation layer on top of it. Traditional ERP waits for someone to type. Ours watches the same data and acts — raising the order, flagging the anomaly, routing the approval — and asks a human only where judgment is actually needed.
The ERP underneath
A full multi-tenant system your whole operation runs on, not a bolt-on.
- Inventory & stock
- Purchasing
- Sales & orders
- Finance & ledgers
- HR & payroll
- Reporting
- Multi-site
- Role-based access
The automation layer on top
What the system handles on its own, with an audit trail on every action.
- 01ReplenishmentForecasts demand and raises purchase orders before stock runs short
- 02Document intakeReads invoices and delivery notes, matches them to orders, queues only the mismatches
- 03Anomaly detectionFlags transactions and stock movements that break the normal pattern
- 04Approval routingSends each exception to the right person with the context already attached
- 05Operational reportingAnswers questions in plain language against your live data
Every automated action is logged, reversible and attributable. An ERP that acts on its own is only safe if you can see exactly what it did and why — so that is built in, not added later.
AI capabilities
What we mean when we say AI
Four things we build repeatedly, with the parts that decide whether they survive contact with real users.
Agents & workflow automation
Systems that take an action, not just answer. Tool calls, approvals and a human checkpoint wherever an error would be expensive to undo.
- tool use
- orchestration
- human-in-loop
- audit trail
Computer vision
Recognition and inspection on real images, not clean datasets. We measure accuracy before and after, because that number is the whole deliverable.
- detection
- OCR
- fine-tuning
- benchmarks
Evaluation & monitoring
A test set before launch and dashboards after it. Without this an AI feature quietly degrades and nobody notices until a customer does.
- eval sets
- regression tests
- cost tracking
- drift alerts
We will also tell you when a problem does not need AI. A rules engine that always works beats a model that usually does — and it costs you less to run.
What we actually shipped
New products and existing systems. Client names are withheld where the engagement is covered by an NDA — the numbers are the ones we still stand behind.
40% → 80%recognition rateComputer VisionConfidential
AI Key-Recognition System
Computer-vision module rebuild
A property-tech product identified scanned keys only 40% of the time. We rebuilt the computer-vision module and recognition rose to about 80%.
Ask about this engagement →
18 months5 releases, still liveMobile AppsNDA
Household Productivity Platform
18-month full-stack engagement
A European household product needed a kitchen tablet plus companion iOS and Android apps, kept in production. The duration is evidence of retention, not a financial return.
Ask about this engagement →
Livebuilt + maintainedRetrieval AINamed client
Cause Systems
Ongoing platform build + maintenance
A chatbot that answers from the open web, from a company's documents, or both — and stays grounded either way. We built those modes and still maintain the platform.
Ask about this engagement →Three ways to start, priced honestly
Which one fits depends on how much is already known. We will tell you which you are in before you commit.
Fixed scope
When the work is well understood
Websites, apps and ERP builds where the requirements are clear. You get a fixed quote after scoping and the price does not move unless the scope does.
- Fixed price, agreed up front
- Milestones you can check
- Maintenance written into the quote
Discovery or prototype
When the outcome is still uncertain
A bounded first step for AI work nobody can price honestly yet. We find out whether it works on your data before you fund a full build.
- Fixed-cost, time-boxed
- Ends in a go / no-go, not a sales pitch
- You keep the code and findings
Embedded engineers
When you need capacity in your team
Our engineers work inside your team and your process. We agree rate, capacity, responsibilities and a review cadence before anyone starts.
- Agreed rate and capacity
- Named engineers, not a rotating pool
- Review cadence set in advance
Ten disciplines, one accountable team
Every engagement is staffed by specialists who have shipped this exact kind of system before.
AI systems & automation
AI automation bots, agents, RAG chatbots, computer vision and workflow automation on your data.
AI systems & automation details →Websites & web applications
Marketing sites, portals and SaaS in Next.js, React and Laravel. Technical SEO and deployment included.
Websites & web applications details →Mobile apps
Cross-platform iOS and Android from one codebase, including apps we keep releasing after launch.
Mobile apps details →ERP development
Custom and integrated ERP tuned to how your business actually runs.
ERP development details →Machine learning & data science
Models, pipelines and analytics that turn raw data into decisions you can act on.
Quant finance & trading algorithms
20+ high-frequency trading bots and algorithms delivered for Forex, crypto, options and stocks.
Quant finance & trading algorithms details →POS development
Point-of-sale systems for retail and restaurants, with inventory, billing and multi-branch reporting.
POS development details →Taxation portals
Tax filing, registration and calculation portals with secure document handling and audit trails.
Taxation portals details →Cybersecurity & cloud
Hardened cloud architecture, penetration testing and security reviews of systems we did not build.
Digital marketing & social
Growth strategy, content and paid campaigns run by a dedicated manager.
Scope first, then we build
- 1
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.
- 2
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.
- 3
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.
- 4
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.
Seven industries, real production systems
SaaSMulti-tenant platforms built to scale from first customer to enterprise contract.
FintechPayments, ledgers and compliance-aware infrastructure.
Trading & quant finance20+ trading bots and algorithms across Forex, crypto, options and stocks.
EducationLMS platforms and learning tools used by students and institutions daily.
Human resourcesHRMS and workforce platforms covering hiring, payroll and performance.
HealthPatient-facing and clinical systems built with data sensitivity front of mind.
SIP telecomVoIP and SIP-based communication systems for global call infrastructure.
Retail & distributionInventory, purchasing and finance across multiple sites.
The engineers who do the work
You talk to the people writing the code. Reviews sit with that same group, not a separate account team. Between 20 and 50 specialists, each with 10+ years of experience.
Zahoor Ahmed
CEO / Manager
Runs the studio and owns the commitments we make. Usually the person who reviews whether we are the right fit for your work.
Naseer Ahmed
Chief Technology Officer
Sets technical direction and leads architecture on our largest builds. Owns how work gets deployed.
Saqlain
Senior Software Engineer
Full-stack lead who takes products from first commit to production. Same engineer on the server and in the browser.
Abdul Qadeer
ERP Consultant
Designs and implements ERP systems for complex, real-world operations across multiple sites.
Muhammad Aslam
Quant Finance Manager
Leads our quant and algorithmic trading work, from strategy research and backtesting to live execution across Forex, crypto, options and stocks.
Anand Kumar
ML / Data Science Manager
Leads model development and takes data infrastructure from notebook to production.
Shahzaib Ahmed
Social Media Manager
Runs growth strategy and campaigns, and reports on what the spend actually returned.
Tech Virsa consistently delivers top-notch results. Their dedication to understanding our requirements and delivering beyond our expectations is truly impressive. They not only provided excellent development work but also offered valuable feedback on how we could improve our platform. We look forward to working with Tech Virsa again!Iggy Gullstrand · Senior Software Engineer · Sweden
Get in touch
Ready to scope a project?
Tell us what you are trying to build. A senior engineer reviews fit and replies, usually within one business day. Email and WhatsApp are open if the form is not what you want.