Matlab Infotech
AI Development Services
Build intelligent, AI-native products from the ground up.
We design and build AI-native products: LLM-powered applications, intelligent automation platforms, and ML-driven solutions built for production scale.
What we offer
A complete range of ai development services capabilities delivered by specialists who own the outcome end to end.
LLM Application Development
GPT-4, Claude, and Gemini-powered applications with custom prompting, tool use, and production-grade reliability.
RAG Systems
Retrieval-Augmented Generation pipelines that ground LLM responses in your proprietary data for accurate, cite-able answers.
AI Agents & Automation
Autonomous agents that plan, use tools, and complete multi-step tasks with minimal human intervention.
ML Model Development
Custom machine learning models for classification, regression, forecasting, NLP, and computer vision use cases.
AI Product Strategy
Technical discovery workshops to identify the highest-value AI opportunities in your product and build the business case.
AI Infrastructure
Model serving, fine-tuning pipelines, vector databases, and cost-optimised inference infrastructure for production AI.
Business challenges we solve
Common problems our clients faced before working with us, and how we resolved them.
Before Matlab
- Generic AI tools that do not understand your domain or data
- LLM hallucinations making AI unreliable for business use cases
- No clear path from AI prototype to production-grade product
- AI infrastructure costs scaling out of control at volume
After Matlab
- Domain-specific AI products trained and grounded in your data
- RAG architecture ensuring responses are accurate and verifiable
- Production-ready AI with evaluation, monitoring, and fallbacks
- Cost-optimised inference with caching, batching, and model selection
Our capabilities
Deep technical expertise across the full stack required to deliver your project.
LLMs
- GPT-4o
- Claude 3.5
- Gemini Pro
- Llama 3
- Fine-tuning
- Prompt engineering
Retrieval
- RAG pipelines
- Vector databases
- Embeddings
- Semantic search
- Knowledge graphs
ML
- Classification
- Regression
- NLP
- Computer vision
- Recommendation
- Anomaly detection
Infrastructure
- Model serving
- LangChain
- LlamaIndex
- Pinecone
- Weaviate
- MLflow
Solutions we build
Real-world product types we have shipped for clients across industries.
AI Chatbots
Context-aware chatbots grounded in your product documentation and data.
Document Intelligence
AI extraction, summarisation, and Q&A over unstructured documents.
Code Assistants
Developer tools powered by LLMs for code review, generation, and explanation.
Recommendation Engines
Personalised product, content, and user recommendations at scale.
AI Search
Semantic search replacing keyword search for better result relevance.
Predictive Analytics
ML models forecasting churn, demand, and business outcomes.
Computer Vision
Image classification, object detection, and OCR pipelines.
AI Agents
Autonomous agents completing multi-step tasks across systems.
Our development process
A repeatable, transparent delivery process that keeps you in control at every step.
Discovery Call
We learn your goals, constraints, tech stack, and timeline in a focused 60-minute session.
Scope & Proposal
Detailed scope, architecture overview, milestones, and a transparent fixed or T&M quote.
Design & Planning
Wireframes or technical design document reviewed and approved before a single line of code is written.
Agile Development
Two-week sprints with working software demo at the end of every cycle for real-time feedback.
QA & Testing
Automated and manual testing every sprint. No release ships without a clean QA sign-off.
Launch & Support
90-day post-launch warranty, CI/CD handover, and optional ongoing retainer for continued growth.
Technologies we use
Modern, battle-tested tools chosen for reliability, performance, and developer experience.
LLM APIs
Frameworks
Vector DBs
ML
Cloud AI
Why choose Matlab Infotech
What makes working with us different from every other agency.
Dedicated Team
A focused team assigned exclusively to your project. No shared resources, no context switching.
Agile Delivery
Two-week sprints with working demos every cycle so you always know exactly where your product stands.
Flexible Hiring
Fixed-scope, dedicated team, or hourly. Choose the engagement model that fits your budget and timeline.
NDA Protected
Full IP ownership and signed NDAs before any work begins. Your ideas stay yours.
Direct Comms
Slack-first culture with daily updates and a dedicated PM keeping you in the loop.
Post-Launch Support
90-day warranty on all launches plus flexible retainer plans to keep your product evolving.
Industries we serve
Domain knowledge across every major vertical, so your team never has to teach us the basics.
Engagement models
Three ways to work with us. Pick the model that fits your stage and budget.
Fixed-Price Project
- Agreed scope, timeline, and cost upfront
- Milestone-based payment schedule
- Ideal for MVPs and well-defined products
- No hidden fees or scope creep surprises
Dedicated Team
- Full-time team working exclusively on your product
- Monthly billing with no long-term lock-in
- Direct access to engineers and daily standups
- Scale the team up or down each month
Time & Materials
- Flexible scope with weekly billing
- Ideal for exploratory or fast-changing products
- Start immediately with no lengthy scoping phase
- Full visibility into hours logged and tasks completed
What clients say
“Matlab Infotech delivered exactly what they promised, on time and without surprises. The code quality was excellent and the team communicated proactively throughout.”
JJames Carter
CTO, HealthBridge Connect
“Working with Matlab felt like having an in-house team. They understood our product vision from day one and shipped features that our users immediately loved.”
PPriya Mehta
Product Lead, Finova
Frequently asked questions
What LLMs do you work with?+
We work with OpenAI (GPT-4o), Anthropic (Claude 3.5), Google (Gemini), and open-source models like Llama 3. We recommend the right model based on cost, latency, and capability requirements.
How do you prevent LLM hallucinations?+
We use RAG (Retrieval-Augmented Generation) to ground responses in your data, add citation mechanisms, implement output validation, and include human-in-the-loop fallbacks for high-stakes decisions.
Can you fine-tune an LLM on our data?+
Yes. We fine-tune models using your proprietary data where the task requires it. For most use cases, RAG plus prompt engineering achieves better results at lower cost.
How do you handle AI data privacy?+
We implement data encryption, access controls, opt-out of training data sharing with API providers, and can deploy models on-premise or in your own cloud account if required.
How long does an AI product take to build?+
A focused AI feature or chatbot typically takes 4 to 8 weeks. A full AI-native product with ML pipelines and infrastructure takes 12 to 24 weeks.
Do you provide ongoing model monitoring?+
Yes. We set up evaluation pipelines, prompt regression testing, and model performance monitoring to detect drift and quality degradation over time.
Let's Collaborate
Tell us about your project and we'll come back with a plan, a timeline, and a quote.