Awakast

Awakast is a Polish AI and software studio founded to address a specific gap: AI projects that fail not because the technology isn't ready, but because the engineering isn't. Based in Poland and serving EU, UK, and US clients, the company specializes in LegalTech and HRTech, two industries where compliance stakes are highest and engineering demands are most unforgiving. The team is senior-only—no juniors—and operates as a delivery pod accountable for outcomes, not deliverables. They've shipped 10+ AI products to production, with typical MVP timelines of 5–8 weeks and project costs ranging from $50k–$150k on a Time & Materials basis with a pre-agreed cap.

Services and capabilities

Awakast's service menu spans the full stack: product discovery and UX, frontend and backend engineering, AI integration, QA, security review, and DevOps. They specialize in agentic AI systems—multi-agent architectures with guardrails, RAG pipelines, audit trails, and human-in-the-loop workflows. Their AI MVP delivery process runs in fixed 6–8 week sprints, moving from scoping through to production deployment with weekly demos and direct engineer access. For teams with existing prototypes, they offer a "Vibe to Production" hardening service, taking LLM-generated code and adding security, tests, observability, and EU AI Act compliance. They also deliver on full-stack engineering (React/Next.js frontends, Python/Node backends, Kubernetes infrastructure) and applied AI/ML focused on measurable production outcomes rather than research.

Compliance is architectural, not an afterthought. GDPR and EU AI Act requirements are baked in from day one. For LegalTech, they build audit-ready multi-agent systems for contract analysis and case research. For HRTech, they deliver bias-free hiring AI with private LLM hosting and zero data leakage. On the infrastructure side, they work across AWS, GCP, and Azure, containerize with Docker/Kubernetes, and operate observability via Datadog, Sentry, and custom dashboards.

Notable work

The company's most concrete result is a 70% reduction in case processing time for VAIOT, a European LegalTech client, achieved via a multi-agent legal workflow system with regulator-ready audit trails and optimized LLM costs (−38% token reduction). That project was completed in 12 weeks and now handles 500+ demo users per week. For HRTech, Awakast built a Blind CV Generator that anonymizes CVs in under 2 minutes, reducing processing time by 93%, shipped in 8 weeks and now live as a SaaS product. A separate AI-driven ATS platform they built delivers 4.1x faster candidate screening and reached MVP in 3 months. Other named projects include a private multi-retrieval RAG assistant for Fortum's support workflows (30%+ faster response times in 6 weeks), a Blind CV Generator built with Mistral and FastAPI across 15+ languages with full GDPR data-residency control, and a Lovable-to-production hair salon booking site shipped in 2 weeks with Stripe and Supabase.

How they work

The engagement model is transparent and structured. Discovery begins with a 30-minute call to diagnose the problem, followed by a detailed scope, timeline, and T&M-with-cap proposal within 48 hours. Build happens in fixed sprints with weekly demos, async daily updates, and direct Slack access to the delivery pod. You talk directly to the engineers shipping your product from the first call through deployment—no relay layers. Pricing is Time & Materials with a ceiling agreed before sprint one; unused budget is returned. Their typical engagement runs 6–8 weeks to MVP, followed by long-term post-launch partnership for product evolution. They decline proof-of-concept work with no committed path to production, data science research without a clear product outcome, and projects where compliance is "to be figured out later."

Team and credentials

Awakast holds a 5.0 rating on Clutch with verified reviews. The team is 100% senior engineers with no juniors. While no founders are named in the source material, the company explicitly emphasizes that every engineer brings ideas to the table, challenges assumptions, and treats client products as their own. They sign NDAs before technical discussion and provide weekly written updates with radical transparency on scope and cost. Languages across the team support EU, UK, and US clients.