Sarvaswa AI Labs
Our Services

Every AI problem has a right solution.

From custom LLM development to AI agents, data engineering and full product builds, we cover every layer of the AI stack for startups and enterprises worldwide.

01

Custom AI and LLM development

We build AI from the model level up. Whether you need a fine-tuned language model, a speech pipeline or a domain-specific ML system, we design and train it on your data so you own the result, not just access it.

Custom LLM Development

LLM Training and Fine-Tuning

We train and fine-tune large language models on your proprietary data, giving you AI that understands your domain, your terminology and your specific business context. The result is a model you own, not one you rent.

What is included

  • Custom dataset curation and preparation
  • Model selection and fine-tuning
  • Evaluation, benchmarking and safety testing
  • Production deployment and monitoring

Custom ML Algorithms

Machine Learning

We build custom machine learning algorithms from the ground up. Whether you need predictive models, classification systems or recommendation engines, we design ML solutions built specifically for your use case and data.

What is included

  • Algorithm design and architecture
  • Model training and validation
  • Performance optimisation
  • Integration with your existing systems

Voice AI Development

Custom Speech-to-Speech Pipelines

End-to-end speech AI covering recognition, language understanding, response generation and voice synthesis. Built for voice assistants, call automation and real-time communication products.

What is included

  • Automatic speech recognition (ASR)
  • Natural language understanding (NLU)
  • Text-to-speech synthesis (TTS)
  • Real-time pipeline & latency optimisation

Anthropic Claude Integration

AI Enablement with Claude

Production-ready AI applications powered by Anthropic Claude. From document analysis to code generation and customer-facing AI tools, we integrate Claude deeply into your product and internal workflows; through custom Skills, MCP servers, and context engineering.

What is included

  • Custom Claude Skills development
  • MCP servers inside your perimeter
  • Context engineering & prompt registry
  • Eval harness, red-team & runbooks
Read the Claude Enablement playbook
02

AI agents and automation

AI systems that reason, plan and act. From autonomous agents that handle complex multi-step tasks to workflow automation that removes repetitive manual work, systems that run intelligently without constant human input.

Agentic AI Development

AI Agents and Autonomous Systems

AI agents that reason, plan and take action on your behalf. From single-task agents to complex multi-agent systems, we build autonomous AI that manages workflows end to end and adapts to new information.

What is included

  • Agent architecture & reasoning design
  • Tool and API integration
  • Memory and context management
  • Multi-agent orchestration

Intelligent Process Automation

Workflow Automation

We identify the manual, repetitive processes slowing your team down and replace them with intelligent automation. AI-powered workflows that reduce operational cost and free your team for high-value work.

What is included

  • Process analysis and mapping
  • Automation design & implementation
  • Integration with existing tools
  • Monitoring and continuous improvement
03

Product and infrastructure

The full product and the technical foundation it runs on. Whether you are launching an AI-powered SaaS or need scalable infrastructure to support growing AI workloads, we design systems built to perform under pressure.

AI Product Development

SaaS Product Development

Full AI-powered SaaS products from idea to launch. Our team handles product design, engineering, AI integration and deployment, so you go to market with a production-ready product without needing to build an in-house AI team.

What is included

  • Product architecture and system design
  • Frontend and backend engineering
  • AI feature integration & optimisation
  • Launch, scaling and post-deployment support

AI Infrastructure Design

System Architecture & Infrastructure Scaling

The technical foundation your AI product needs to scale reliably. From cloud infrastructure to data pipelines and performance under load, we build systems that grow with your business without breaking.

What is included

  • Cloud architecture design and optimisation
  • Data pipeline design and engineering
  • Performance tuning and reliability
  • Cost management & infra governance

AWS Cloud Engineering

Building with AWS

Deep, end-to-end AWS expertise for both AI and product workloads. We design and operate systems across SageMaker, EC2, Lambda and the data stack, with predictive cost analysis built in so spend scales with real usage, not idle capacity. We have shipped on almost every AWS service in the catalogue.

What is included

  • SageMaker training, deployment & MLOps pipelines
  • EC2 GPU & Spot instance optimisation with predictive cost analysis
  • Serverless and container AI workloads (Lambda, ECS, EKS, Bedrock)
  • Data engineering on AWS (S3, Glue, Athena, Redshift)
Our process

How we work, step by step.

01

Discover

We learn your business, data and goals before any code. Right solution, not the fastest one.

02

Design

Architecture, model selection and data strategy designed for your use case and scale.

03

Build

Engineers and designers ship production-grade AI with the right cost / latency / accuracy tradeoffs.

04

Scale

We stay beside you, optimising performance and expanding capability as you grow.

Tell us what
you are building

Whether you have a clear spec or just an idea, we can help you figure out the right approach and build it the right way.

Start a conversation