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AI Engineering + Software Product Development

AI Engineering
for the products
of tomorrow.

Techsolab builds intelligent software products, AI systems, and scalable engineering platforms for ambitious companies worldwide.

Production-grade AISenior engineeringGlobal delivery
DATADOCSAPISRETRIEVALREASONINGACTIONOUTPUTAI AGENT
Global Delivery

Engineering for companies that think beyond borders.

We partner with technology teams across time zones — aligning to their standards, their roadmap, and their definition of done. No distance between your product and the engineers building it.

Europe

Product & platform engineering

United Kingdom

AI systems & modernization

Middle East

Enterprise AI & data platforms

Global

Dedicated engineering teams

One Engineering Capability

From intelligent ideas to production systems.

Most companies stitch together separate vendors for AI, software and data. Techsolab combines them into a single engineering capability — one team accountable from the first idea to a system running at scale.

AI engineering

Agents, RAG, LLM systems and evaluation built for production.

Software engineering

Robust services, APIs and interfaces on a modern stack.

Data engineering

Pipelines, vector stores and infrastructure AI depends on.

Product thinking

The judgment to build the right thing, not just build it right.

The path to production
01Idea
02Architecture
03Engineering
04AI
05Production
06Scale
AI Engineering

AI that works beyond the demo.

Impressive prototypes are easy. Systems that stay accurate, secure and reliable under real load are not. Techsolab builds production-grade AI — agents, retrieval and LLM applications engineered to run in the real world.

AI Agents
Agentic RAG
Enterprise RAG
LLM Applications
AI Automation
AI Copilots
AI Evaluation
Knowledge Systems
Evaluation-driven
Quality measured, not assumed
Grounded
Answers tied to your data
Governed
Access control & auditability
Observable
Traced from prompt to action
Agent execution flowlive
  1. User01

    Intent & context

  2. AI Agent02

    Orchestration layer

  3. Reasoning03

    Planning & decomposition

  4. Retrieval04

    Agentic & enterprise RAG

  5. Tools05

    APIs, functions, systems

  6. Enterprise Data06

    Governed & secure

  7. Action07

    Verified outcome

Software Product Development

Build the product. Scale the platform.

We help companies design, build, modernize and scale software products — from a first MVP to platforms serving thousands of users. Clean architecture, modern engineering, and a foundation you can grow on.

Product Strategy
Scope, roadmap, success metrics
Architecture
Systems, boundaries, data models
Frontend
React, Next.js, design systems
Backend
APIs, services, domain logic
APIs & Integration
REST, GraphQL, events
Cloud
Azure, AWS, cloud-native
DevOps
CI/CD, IaC, automation
QA
Automated testing & coverage
Observability
Metrics, logs, tracing
Reference architecturecloud-native
L1Experience
Web App
Design System
Dashboards
L2Services
APIs
Domain Logic
Auth
L3Data
PostgreSQL
Cache
Search
L4Platform
Cloud
CI/CD
Observability
Demand forecastR² 0.94 · sample
FORECAST

Illustrative visualization — sample data, not a client result.

Machine Learning

Turn data into decisions.

Forecasts, predictions and optimization that hold up in production — with the pipelines and MLOps to keep models accurate as your data changes.

Forecasting
Predictive Analytics
Optimization
Recommendation Systems
Anomaly Detection
ML Pipelines
MLOps
Dedicated Engineering Teams

Extend your engineering team without extending your complexity.

Add experienced AI and software engineers to your team through a dedicated engineering model designed for long-term collaboration — not staff you have to manage around.

Senior engineers who own outcomes, not just tickets
Aligned to your process, tools and time zone
Scale the team up or down as the roadmap changes
One partner accountable for delivery and quality
Example team compositiondedicated
AI Engineer

Agents, RAG, LLM systems, evaluation

Backend Engineer

APIs, services, data & domain logic

Frontend Engineer

React, Next.js, product interfaces

Data Engineer

Pipelines, warehouses, vector stores

DevOps Engineer

Cloud, CI/CD, infrastructure as code

QA Automation

Test automation, reliability, coverage

Composition is tailored to your roadmap. Team size and structure are scoped together — engagement details are discussed directly.

Engineering Process

From first conversation to production.

A disciplined path from understanding the problem to running the system at scale. Every engagement follows it; every step is measurable.

01

Discover

Understand the business, product, users and technical challenges before a line of code is written.

Technology

A modern engineering stack.

We choose technologies for reliability and fit, not fashion. Below are platforms and tools we work with across engagements.

These are technologies and platforms we build with. Listing them does not imply any official partnership, certification or endorsement by their respective owners.

Languages

  • Python
  • TypeScript

Frontend

  • React
  • Next.js

Backend

  • FastAPI
  • Node.js
  • .NET

Data

  • PostgreSQL
  • SQL Server
  • Elasticsearch

Vector & Search

  • FAISS
  • PGVector

Cloud & Infra

  • Docker
  • Kubernetes
  • Azure
  • AWS

AI Platforms

  • OpenAI
  • Anthropic
  • Google Gemini
  • Ollama
Why Techsolab

Engineering depth. Product thinking. Long-term partnership.

The reasons technology leaders choose to build with us — and keep building with us.

01

AI + software under one roof

AI, ML, data and product engineering in a single team — no handoffs between disconnected vendors.

02

Production-first engineering

We build for reliability, security and scale from day one, not demos that break in the real world.

03

Senior technical capability

Experienced engineers who can own architecture and hard problems, not just execute tickets.

04

Flexible dedicated teams

Extend your engineering capacity with a model designed for long-term collaboration.

05

Long-term partnership

We optimize for the systems you'll still be running in three years, not just this sprint.

06

Global delivery

Engineering aligned to European, UK and Middle Eastern time zones and standards.

Have a difficult engineering problem?

Tell us what you're building. We'll help you figure out what comes next.