Senior-led end-to-end delivery
Five focused service areas covering the full lifecycle of AI product development — from first sprint to live production.
Agentic AI systems that actually ship
Multi-agent architectures, RAG pipelines, and LLM integration — designed for compliance, cost control, and production reliability.
70% faster processing · −38% token costs · full audit trail
From idea to live product in 6–8 weeks
A fixed-process sprint cycle that takes your AI product from scoping to production deployment. T&M with cap — you know the ceiling from day one.
6–8 week MVP · Senior engineers only · Long-term product partnership
Data science and ML tied to business outcomes
Model adaptation, retraining, and production integration focused on measurable impact. Build from scratch only when justified.
1M+ comments analyzed · multilingual pipelines · reusable analytics framework
Your AI prototype needs production engineering
LLM-generated code is fast but insecure, untested, and fragile. We harden your prototype into a system you can trust — and scale.
Security audit · test coverage · observability · GDPR/EU AI Act gap analysis
Modern applications, built to last
Pragmatic full-stack delivery using the right components — Supabase, Next.js, proven cloud stacks. Scalable, maintainable, production-grade from day one.
React · Next.js · Supabase · AWS/GCP · CI/CD · 5–10 wk MVP
Engagement model
Time & Materials with a cap agreed upfront. You always know the ceiling.
"Awakast delivered a production-ready AI system in under 3 months. The team was senior, direct, and genuinely understood our compliance constraints."
LegalTech Client — VAIOT
Service FAQs
AI Product Development is our full engagement model — multi-agent systems, RAG pipelines, compliance architecture, and long-term product ownership. AI MVP Delivery is a focused 6–8 week sprint designed to ship a production-ready first version fast. Both are senior-led and priced on T&M with a cap.
Time & Materials with a cap agreed upfront. You get cost predictability without the perverse incentives of pure fixed-price — we can respond to new information, and you always know the maximum spend before any sprint starts.
Yes — about half our engagements add AI capabilities to existing platforms. We review your current stack, propose a minimal-disruption integration path for RAG pipelines, LLM layers, or ML models, and deliver it with the same senior-led sprint model.
Ready to talk about your project?
Book a 30-minute discovery call. No slides, no sales pitch — just a focused conversation about your problem.