Your goal
Be visible where AI answers
Automate processes
Build a product
Put AI agents to work
Connect and modernize systems
Know where we stand
Use Cases
CRMStrengthen customer relationshipsPopularE-CommerceBoost online revenueBooking System24/7 appointment bookingProject ManagementCoordinate teamsInvoicingGet paid fasterAnalyticsData-driven decisionsPut AI agents to work
Forward Deployed Engineering: we work directly in your systems and with your team, build the AI solution where it has to run, and hand it over in production – accountable for the outcome, not for billed hours.
Fixed price after scoping · proposal within 48 h
Reviewed: November 2026
A Forward Deployed Engineer (FDE) is a software engineer who embeds in the client's organization, writes production code there and is accountable for the result. The model originated at Palantir in the early 2010s; in 2026 OpenAI, Anthropic and Google Cloud are building their own FDE teams for enterprise customers.
Most AI projects don't fail because of the model but because of the environment: data access, permissions, processes that grew over years, and nobody in-house with the time to carry a pilot into operations. Forward Deployed Engineering starts exactly there. Instead of translating requirements into tickets and delivering from a distance, the engineer works in your repository, your ticket system and your communication channels, talks directly to the business team and builds the solution against real data. At Context Studios, the founder leads every engagement personally; specialists join when needed, and your point of contact stays the same. Work happens remotely, on site by arrangement – for example for the kick-off, workshops with the business team or go-live. An engagement typically runs 4 to 12 weeks and can be extended. We deliberately counter the known weaknesses of the model – dependence on one person and solutions only their builder understands: the code is yours from the start, decisions are documented, and your team works alongside so it can carry the solution forward after handover.
For companies with a concrete AI use case – an agent, a knowledge search with sources, a process automation – where the real work sits in their own systems, data and workflows. For IT teams that lack AI experience, and for business units whose pilot never got past the demo.
We select the optimal tech stack for your specific requirements
Four weeks on one goal, with something that runs at the end.
4 weeks · fixed price after scopingWe build the project out and stay alongside you once it is live.
after scoping, ongoing · fixed price after scoping; support billed monthlyAccess, conversations with business and IT, a review of your systems; afterwards it is clear what will run in production at the end and how we measure it.
W1Development in your repository in short cycles, regular check-ins with users, specialists as needed.
ongoingGo-live with monitoring, documentation and onboarding of your team; if a sensible next step is due, the engagement can be extended.
endTalk to us for 30 minutes with no obligation, or write to us directly.
Fixed price after scoping · proposal within 48 h
