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AI consulting & end-to-end engineering

Production AI,
engineered end to end.

We design, build and run your AI: RAG, LLM apps and agents, from data to production. No AI team to hire first.

Makers of Frame, the open-source IDE for AI agents

The problem

Every company wants AI in production.

Few can build it. Fewer can ship it. Almost no one can own it end to end.

Kafa does all three, end to end.

Services

Everything between the idea and the running system.

  • AI strategy & consulting

    • Use-case discovery & ROI
    • Feasibility & risk review
    • Build vs. buy
    • Architecture & roadmap
  • AI in your product

    • Copilots & smart features
    • Built in your stack
    • Code review & documentation
    • Knowledge transfer
  • RAG & knowledge systems

    • Ingestion & chunking
    • Hybrid search & reranking
    • Source citations
    • Access control
  • LLM applications & agents

    • Tool use & MCP
    • Multi-step agents
    • Structured outputs
    • Human-in-the-loop
  • Evaluation & LLMOps

    • Eval suites & regression tests
    • Tracing & observability
    • Latency & cost budgets
    • Guardrails
  • Data & integration pipelines

    • Connectors to CRM, ERP & docs
    • Batch & streaming ETL
    • Vector databases
    • APIs & webhooks
  • Model selection & fine-tuning

    • Model benchmarking
    • Fine-tuning & distillation
    • Self-hosted inference
    • Routing & fallbacks
  • Security, privacy & governance

    • VPC & on-prem deployment
    • PII handling
    • Prompt-injection defence
    • Audit & compliance readiness

Built by Kafa

Frame

Spec-driven development for AI coding agents.

FAQ

Questions we hear often.

What does Kafa Software do?

Kafa Software is an AI engineering and consulting company. We design, build and operate production AI systems end to end: retrieval-augmented generation (RAG), LLM applications, AI agents, evaluation and LLMOps, and the data pipelines behind them. We act as one partner from the first use case to the running system.

Do we need to hire forward-deployed AI engineers to get AI into production?

Not necessarily. Forward-deployed AI engineers, who take AI from prototype to production inside a company's own environment, are among the hardest roles to hire. Kafa delivers that outcome as a partner: we design, build and deploy the system end to end in your infrastructure, then hand it over with documentation and training.

Can you build a RAG system on our private data without it leaving our infrastructure?

Yes. We regularly deploy retrieval, embedding and inference inside a customer's own cloud account (VPC) or on-premises, including with self-hosted open-weight models, so sensitive data never leaves your environment.

Which LLMs and AI vendors do you work with?

We are model-agnostic. We work with frontier APIs such as Claude, GPT and Gemini, and with open-weight models such as Llama and Mistral served through vLLM or Ollama. We choose models by benchmarking them on your own evaluation set and design systems so the model can be swapped later.

How long does it take to get an AI use case into production?

It depends on data readiness and integration depth. With AI-native tooling, a working prototype on your own data comes quickly, often within days; the production system then follows in short, measured releases. We scope each engagement before committing to a timeline.

Contact

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