Forward deployed engineering · Data · Analytics · AI
Senior data and AI engineers, embedded in your team.
We ship production systems, from trusted metrics and platforms to agentic AI, then leave you stronger than we found you.
Not slide decks. Production systems, handed over.
01 — The model
Demos are easy. Production is the work.
Most data and AI efforts stall between the prototype and the system people rely on. Forward deployed engineering closes that gap by putting senior builders where the problem actually lives.
Strategy and diagrams. Your team is left to build it.
Extra hands, but the mission, architecture and outcome stay with you.
Senior engineers own a defined mission inside your environment, ship to production, and transfer the knowledge.
02 — Services
Six things we build.
Agentic, LLM and RAG systems built inside your environment, with evaluation, guardrails and human-in-the-loop design.
Greenfield builds and modernizations: warehouse and lakehouse, streaming, ELT and orchestration, architecture reviews.
Governed golden datasets, a semantic layer, self-service enablement, executive and finance reporting.
A/B testing platform and governance, experiment analysis, marketing and product measurement.
Contact-center forecasting and staffing, deflection, proactive messaging, AI agent assist and AI evaluation.
GDPR/CCPA and data sovereignty, access controls, data quality automation, human oversight of AI.
03 — How it works
Embedded in weeks, not quarters.
- Step 1Scope
A short, time-boxed assessment to agree the mission, the constraints and what done looks like.
- Step 2Embed
One to four senior engineers join your team, working in your stack with your stakeholders.
- Step 3Ship
Production systems, not prototypes: tested, evaluated, observable and secure by default.
- Step 4Hand over
Documentation, coaching and knowledge transfer so your team owns it from day one after.
1–4 engineers inside your team for a defined mission.
A senior data or AI leader plus hands-on delivery.
Time-boxed assessments or builds, such as AI readiness or a platform review.
Hiring support, coaching, handover and documentation.
04 — Problem patterns
Problems we are hired to solve.
Case studies will appear here once approved by clients. Until then, these are the recurring problems senior data and AI leaders bring to us.
See all problem patterns- 01Agentic AI from demo to productionTool-calling agents, RAG and evaluation harnesses close to your data and security constraints.
- 02Building or modernizing the data platformWarehouse, lakehouse, streaming and orchestration, built from zero or rebuilt for scale.
- 03Trusted metrics and self-service analyticsOne source of truth, consistent metric definitions, BI that executives rely on.
- 04Experimentation and measurementA/B testing governance, experiment readouts, causal and marketing measurement.
- 05Support analytics plus AIForecasting, deflection, agentic support and outcome-based AI evaluation.
- 06Governance, privacy and responsible AICompliance, data sovereignty, access controls and human oversight of AI.
- 07SpeedCompliant capability in weeks, including deal-speed data work for M&A diligence.
Book a call
Tell us what you are trying to ship.
A 30 minute call with us. We will tell you plainly whether we can help.
Or email info@7data.io