00 / FRAJTECH
We ship the AI features your team doesn't have time to finish.
RAG, agents, extraction, and voice systems shipped inside real products. Fast scope. Tight execution. No agency theater.
01 / WHY WE EXIST
Most AI features don't fail at the demo.
They fail three weeks after launch. On an edge case, a rate limit, a prompt that regressed, a cost spike nobody was watching. The last 20% is where production lives. It's where most teams stall. It's where we work.
02 / WHAT WE BUILD
Four shapes of AI work we ship.

RAG over proprietary knowledge
Your product answers questions using your own data. We build the search, ranking, and accuracy testing so it actually works.

Agentic workflows that replace manual ops
AI that handles repetitive internal work your team does manually today. Routing, enrichment, classification.

Extraction pipelines
Turn messy documents into clean, structured data your product can use. PDFs, emails, transcripts, with measured accuracy.

Voice and chat agents with real fallbacks
Conversational AI that knows when to escalate, tracks its own costs, and can be shut off safely.
03 / HOW WE ENGAGE
Three steps. No retainer. No lock-in.
Scope call (20 min)
One feature, one metric, one deadline.
Build sprint (2–3 weeks)
Working feature shipped to staging or production.
Decide
Continue per-feature, or we part ways. No strings.
04 / SELECTED WORK
Shipped for teams before.

Keytt
AI content strategy platform for artists
Seed-stage · Paris · 2024
Problem
Keytt needed a complete product: dashboard, LLM-powered content planner, expert matching, analytics. Fast enough to show traction in an investor pitch.
What we built
The full platform end-to-end. React + Node + Postgres on AWS, OpenAI-powered content planning assistant, scoring engine, expert matching algorithm, automated onboarding.
Outcome
MVP live in under 6 weeks. Became the core asset in Keytt's seed pitch deck. Architecture still in production today.
React · Node.js · TypeScript · PostgreSQL · AWS · OpenAI
Visit keytt.co
Staffdesk
AI-augmented HR analytics SaaS
Enterprise HR · France · 2023–2024
Problem
An internal HR tool with duplicated code, inconsistent metrics, and a brittle architecture. HR directors had no reliable way to analyze workforce data. The mandate: turn it into a multi-tenant SaaS platform intelligent enough for enterprise clients.
What we built
Full platform rebuild end-to-end. LLM-powered HR insights engine, unified KPI layer, interactive React dashboards, robust CSV import/export for large datasets, modular multi-tenant architecture on Fastify + PostgreSQL.
Outcome
60%+ reduction in time spent on HR reporting via AI assistant. 100% data consistency restored across all modules. HR directors now generate strategic reports in minutes. Platform adopted by multiple enterprise accounts.
React · Node.js · Fastify · TypeScript · PostgreSQL · AWS · OpenAI · ApexCharts
Visit staffdesk.ioWhat clients say about Farouk, FrajTech's founding engineer.
Farouk is Keytt's invisible but central architect. His technical vision and fast execution turned our creative ideas into a stable, intuitive product. His AI integration truly set Keytt apart in a saturated market. Working with him means moving three times faster.
Lionel Fabert
Founder & Creative Director / Keytt
Farouk doesn't just code: he thinks product, strategy, and scalability. From day one, he aligned our business vision with technical constraints, making Keytt a powerful tool. His foresight and UX standards were decisive.
Bakary Doucouré
Head of Digital Strategy / Keytt
05 / ABOUT
Senior engineers. No handoffs. No juniors on your code.
FrajTech is built on one rule: the person who scopes your feature is the person who ships it. No account manager layer, no junior rotation, no offshore handoff. Every engagement is led by an engineer with 7+ years of production experience, with specialists pulled in from our network only when the problem actually requires it.
That's why we ship in weeks, not quarters. Senior engineers using AI as a force multiplier, without the coordination tax of an agency.
Based in Paris. Working with funded product teams across Europe.
60%+
reduction in reporting time
Staffdesk AI assistant
6 weeks
from kickoff to live MVP
Keytt
7+ years
avg production experience
per engineer
2–3 weeks
to first working version
on most engagements
06 / QUESTIONS
Things people ask before booking.
Yes. Most engagements are a feature inside an existing product, not greenfield.
A single scoped feature shippable in 2–3 weeks. If it’s smaller, you don’t need us.
Pragmatic. Python/TS/Node, OpenAI/Anthropic/open models, Postgres with pgvector or dedicated vector DBs, Modal/Replicate for GPU when needed. Chosen per-project.
Most feature sprints land between €3k and €15k depending on scope. We quote a fixed price after the scope call, no hourly billing.
You do. Full IP transfer on delivery. No vendor lock-in, no license layer.
07 / NEXT
Got an AI feature stuck in your backlog?
Tell us about it in 20 minutes. No deck, no pitch, just scoping.

