Karokan Advisory
Karokan Advisory integrates experienced AI professionals directly into your teams to deploy, fine-tune, and govern AI systems in production environments.
Talk to an expert →Long-duration, high-accountability engagements. Not freelance marketplace placements. Practitioners embedded in your teams, accountable to your outcomes.
ML engineers, data scientists, data architects, and prompt engineers on long-duration engagements (3 to 12 months). Full integration into client teams, workflows, and development cycles. Daily-rate billing, transparent terms.
Production-grade model integration. RAG pipelines connected to proprietary data. Fine-tuning of open-source models (Mistral, Llama) for domain-specific applications. Post-deployment monitoring and optimization.
Regulatory readiness for the EU AI Act (effective August 2026). Risk classification, documentation, transparency, and human oversight requirements. Governance frameworks for sustained compliance.
Structured knowledge transfer and team upskilling. AI literacy for business leadership. Lasting organizational capability, not permanent dependency.
From initial assessment to lasting internal capability, every Advisory engagement follows a structured deployment framework.
AI maturity evaluation. Use-case prioritization. Technical and regulatory baseline.
Expert matching against project requirements. Security and regulatory clearance.
Full team integration. First deliverables within two weeks of onboarding.
Documentation, training, and structured handoff. Lasting internal capability.
A lab training a model with Karokan evaluators requires practitioners to deploy it. An enterprise deploying an LLM requires experts to fine-tune it. Each engagement creates demand for the other. The marginal acquisition cost of the second contract approaches zero. This is not a portfolio of services. It is a compounding infrastructure.
Describe your deployment context. Our Advisory team will respond within one business day.