AI Agent Development & Software Services
SaTekk builds the full AI stack — from autonomous agents and RAG systems to production SaaS products and marketing websites. Every engagement starts with a free 30-minute strategy call where we scope your project and give you a fixed price.
We serve startups and SaaS companies across the United States, UK, Europe, and worldwide. All source code is yours on delivery.
Book a Free Strategy CallAI Agent Development
Custom autonomous AI agents for any business process
We build AI agents that work autonomously — using language models with tool calling, memory, and multi-step reasoning to complete tasks that previously required humans. From customer support agents that resolve 80% of tickets without human involvement, to research agents that synthesize competitive intelligence in minutes, to sales agents that qualify inbound leads 24/7.
What's included
- —Customer support and helpdesk agents
- —Lead qualification and sales agents
- —Research and intelligence agents
- —Operations and back-office agents
- —Voice and conversational agents
- —Tool-calling and API agents
RAG Systems & LLM Integration
Give any LLM accurate knowledge from your own data
Retrieval-augmented generation (RAG) systems let your AI products answer questions about your proprietary data — documents, databases, manuals, policies — with high accuracy and no hallucinations. We build the full pipeline: document ingestion, intelligent chunking, vector embedding, vector database setup, hybrid search, and retrieval evaluation. We also integrate LLMs directly into your SaaS product or internal tools via the OpenAI, Anthropic, or Google APIs.
What's included
- —Document ingestion pipelines (PDF, Word, Notion, Confluence, databases)
- —Vector database setup (Pinecone, pgvector, Qdrant, Weaviate)
- —Hybrid search with BM25 + dense retrieval
- —Re-ranking and query expansion
- —Retrieval evaluation (RAGAS and custom evals)
- —LLM API integration into your product
- —Structured outputs and function calling
- —Cost optimization and prompt caching
MCP Server Development
Connect your tools and data to any AI agent via MCP
The Model Context Protocol (MCP) is the open standard for connecting AI agents to external tools and data. We build custom MCP servers in TypeScript and Python that expose your internal APIs, databases, and business logic as callable tools — compatible with Claude Desktop, Claude Code, and any MCP client. It's the fastest way to make your infrastructure accessible to AI agents without rebuilding anything.
What's included
- —Custom tool definition and implementation
- —Resource and data exposure
- —OAuth 2.0 and API key auth layers
- —TypeScript and Python SDK implementations
- —stdio, SSE, and HTTP transport support
- —Claude Desktop and Claude Code integration
- —Production deployment and monitoring
AI Automation & Workflows
Eliminate repetitive work with intelligent automation
AI workflow automation goes beyond rigid if-then rules. We add a reasoning layer that handles unstructured data, makes judgment calls, and adapts to edge cases — connecting your CRM, ERP, helpdesk, email, and databases into intelligent pipelines that run 24/7. Our automations are built with error handling, alerting, audit logs, and retry logic as standard.
What's included
- —Document and data processing automation
- —Email triage and smart reply drafting
- —Lead enrichment and CRM automation
- —Approval and escalation workflows
- —Multi-system data sync and reconciliation
- —Research and reporting automation
- —Trigger-based event pipelines
Multi-Agent Systems
Orchestrated AI agent teams for complex workflows
Some tasks are too complex for a single AI agent — they require multiple specialized agents working together, checking each other's work, running tasks in parallel, or handing off between phases. We design and build multi-agent systems using LangGraph and CrewAI, with supervisor-worker patterns, shared memory, and human-in-the-loop gates for high-stakes decisions.
What's included
- —Supervisor-worker orchestration patterns
- —Sequential pipeline agent chains
- —Parallel execution architectures
- —Debate and review agent patterns
- —Shared memory and state management
- —Human-in-the-loop approval gates
- —LangGraph stateful graph agents
- —CrewAI role-based crew patterns
SaaS & Website Development
Production-ready software with AI built in
We build full-stack SaaS products and marketing websites using modern frameworks — Next.js, Supabase, Stripe, and Clerk. Every product we build has AI features as a core component, not an afterthought. From MVP to production, we give you a clear timeline, ship clean code, and hand over 100% ownership at project completion.
What's included
- —Next.js SaaS with App Router and TypeScript
- —Supabase Postgres with row-level security
- —Stripe billing — subscriptions and usage-based
- —Clerk or Auth.js authentication and multi-tenancy
- —OpenAI or Anthropic AI feature integration
- —Admin dashboards and analytics
- —Marketing and landing page sites
- —Technical SEO and Core Web Vitals optimization
- —CI/CD deployment on Railway or Vercel
AI Strategy & Consulting
Clarity on where to invest in AI and how to build it
Not sure where AI fits in your business, which use case to build first, or whether to build vs. buy? We offer structured AI consulting for startups and SaaS companies: an audit of your processes and data, identification of the 2–3 highest-ROI AI opportunities, and a practical roadmap with cost and timeline estimates for each. We also help with build vs. buy analysis and technical architecture recommendations.
What's included
- —AI readiness audit
- —Use case prioritization by ROI
- —Build vs. buy analysis
- —Technical architecture recommendations
- —Model selection guidance
- —6–12 month AI roadmap
- —Investor and board communication support
Not sure which service you need?
Book a free 30-minute call. We'll review your use case, tell you exactly what to build, and give you a fixed price — no commitment required.
Book Your Free Call