Our AI Services

Focused AI engineering services — from first call to production in 3–4 weeks, not quarters.

3–4 weeks to a production pilot

Fixed-price scope

Deployed in your cloud

Core AI Services

Four focused services we take from first call to production deployment.

AI Agents & Automation

Build intelligent AI agents that automate complex workflows, make decisions, and integrate seamlessly with your existing systems.

Key Features

Custom AI agent development
Multi-agent orchestration
Workflow automation
Tool integration & function calling

Business Impact

Automates repetitive multi-step workflowsOperates continuously with monitoringIntegrates with Slack, APIs, and internal tools

Timeline

3–4 weeks

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RAG Systems & Knowledge Bases

Transform your data into intelligent knowledge systems that provide accurate, contextual responses using advanced retrieval techniques.

Key Features

Vector database implementation
Document processing pipelines
Semantic search optimization
Real-time knowledge updates

Business Impact

Grounded answers from your private dataSub-second query latency in productionEvaluation suite to measure accuracy

Timeline

3–4 weeks

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Fine-Tuning & Model Optimization

Customize AI models to your specific domain and use cases, achieving superior performance while reducing costs.

Key Features

Domain-specific fine-tuning
Model distillation
Performance optimization
Cost-efficient deployment

Business Impact

Higher accuracy on domain-specific tasksLower inference cost vs. general-purpose modelsSmaller, faster models for production

Timeline

3–6 weeks

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AWS & Cloud Solutions

Deploy scalable, secure AI solutions on AWS using services like Bedrock, SageMaker, and Lambda for enterprise-grade performance.

Key Features

AWS Bedrock integration
SageMaker deployments
Serverless architectures
Auto-scaling infrastructure

Business Impact

Deployed in your AWS account — your controlIAM, monitoring, and CI/CD baked inAuto-scaling infrastructure

Timeline

3–6 weeks

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Additional Services

Comprehensive support services to ensure your AI initiatives succeed

Prompt Engineering

Optimize prompts for maximum accuracy and efficiency

LLM Integration

Seamlessly integrate OpenAI, Anthropic, and other LLMs

Performance Monitoring

Track, analyze, and optimize AI system performance

Security & Compliance

Implement guardrails and ensure regulatory compliance

Custom Development

Tailored AI solutions for unique business requirements

Migration Services

Smooth transition from legacy systems to modern AI

How a Project Runs

From first call to production in 3–4 weeks for a typical pilot.

Discovery

Understand your business needs and identify AI opportunities

1-2 days

Design

Architect the solution and select the right technologies

3-5 days

Development

Build and test your custom AI solution iteratively

1-2 weeks

Deployment

Launch to production with monitoring and support

2-3 days

Have a Use Case in Mind?

A 15-minute call is enough to know whether we're a fit and how we'd approach it.

See Case Studies