Our Forward Deployed Engineers embed with your teams, work on your real data and ship AI that people actually use, on Microsoft Azure and Google Cloud.
Licenses are bought, pilots ran, demos impressed the board. Yet most AI initiatives never reach production. The obstacle is rarely the model. It's everything around it.
Our engineers close that gap end to end, and stay until the solution is live, trusted, measured and used.
A Forward Deployed Engineer is part engineer, part consultant. Unlike a consultant, we leave a working system behind. Unlike a developer, we discover what to build together with the business before we build it.
A world where every enterprise turns AI into everyday value, not as an experiment owned by a lab, but as a natural part of how every team works and decides. The next decade belongs to the companies that deploy AI best, not those that buy the most.
We embed world-class AI engineers inside our clients' businesses to deliver production-grade AI with measurable impact, faster, safer and with lasting capability left behind.
We measure ourselves by what runs in production and what it changes.
Great AI needs trusted, governed, well-modeled data. We never skip this step.
Privacy, auditability and human oversight are built in from day one.
Start small with a sprint, or embed a full FDE squad. Every service is designed to end in measurable impact.
Workshops with business and IT. Use cases scored on value, feasibility and data readiness, with a costed roadmap.
2–3 weeksAssess and build AI-ready data products: lakehouse layers, semantic models, document pipelines and vector indexes.
4–8 weeksA working prototype on your real data, demoed weekly to end users and measured against agreed KPIs.
3–6 weeksIntegration, security, guardrails, evaluation, observability, cost control and LLMOps, through go-live and hypercare.
6–12 weeksAI agents and multi-agent systems that use your APIs via MCP and complete end-to-end processes, with human approvals.
8–16 weeksVoice and chat assistants, real-time agent assist, call summarization and quality scoring.
6–12 weeksNatural-language analytics over your warehouse with a governed semantic layer, Text-to-SQL and answer validation.
4–8 weeksResponsible-AI policy, risk classification, red-teaming, guardrails and regulatory documentation.
3–6 weeksA dedicated FDE squad on monthly retainer, continuously delivering and improving AI use cases.
MonthlyPredict churn and draft personalised retention offers.
Live knowledge retrieval, summaries and auto wrap-up.
Correlate alarms, tickets and logs; suggest root cause.
Explain bills, check usage and propose adjustments within policy.
Extract financials and draft memos with policy-exception flags.
Summarise alerts and gather evidence across systems.
Grounded answers with citations to source documents.
Pre-meeting briefs, product suggestions and follow-ups.
Read forms, photos and documents; classify and route.
Check claims against coverage and tariff rules; flag anomalies.
ML scores plus LLM-written case narratives for investigators.
Unified policyholder view with natural-language analytics.
Generate and localise titles, descriptions and attributes.
Natural-language search grounded on live catalogue and stock.
Orders, returns and refunds handled by agents with approvals.
Explainable forecasts and promo scenario simulation.
We build on the platform you already run, and design across both when you use both.
Sit with your teams, map the real process, find the value and the data, agree on KPIs.
Build on real data in short cycles and demo to end users every week.
Integration, security, evaluation, monitoring and cost control. Then go live.
Reusable components, new use cases and a team trained to own it.
Every consultant trains across four layers, and loves both the machine room and the meeting room.
Python, SQL, data engineering, LLMs, RAG, agents, evaluation, AI security.
Fabric, Azure OpenAI, Foundry, AI Search, agent frameworks + certifications.
BigQuery, Vertex AI, Gemini, ADK, Agent Engine + certifications.
Discovery, business cases, change management, telco, banking, insurance, e-commerce.
In two weeks you'll have a prioritized, costed AI roadmap and one use case ready to prototype on your own data.
✉️ [email]
📞 [phone]
📍 Istanbul, Türkiye