Votre objectif
Être visible là où l'IA répond
Automatiser les processus
Construire un produit
Déployer des agents IA
Connecter et moderniser vos systèmes
Savoir où nous en sommes
Cas d'Usage
CRMRenforcer les relations clientsPopulaireE-CommerceAugmenter les ventes en ligneSystème de réservationRéservations 24h/24Gestion de projetCoordonner les équipesFacturationÊtre payé plus viteAnalytiqueDécisions basées sur donnéesAI Agent MVP Sprint · Darmstadt & Region
Turn one high-value process in your Darmstadt organisation into a working AI agent in weeks, not quarters. You get a production-ready prototype your team can actually use, on a fixed budget.
Prix fixe après cadrage · proposition sous 48 h
An AI Agent MVP Sprint is a focused, time-boxed engagement that takes a single real use case from your organisation and turns it into a working AI agent — software that uses leading language models (LLMs) to understand a task, take steps and produce a result with minimal supervision. Instead of a long roadmap, you get one validated agent live in production, ready to scale. For Darmstadt's research-heavy and engineering-driven companies, it is the fastest way to prove AI value on real internal data before committing to a larger build.
Everything in the MVP Sprint is geared towards a single outcome: a working agent your Darmstadt team relies on from day one.
We pick the single use case with the highest payoff and build one agent that does it well — no sprawling roadmap, just measurable value fast.
The agent plugs into the tools and data sources your team already uses, so results land where work actually happens instead of in another silo.
A fixed 4–8 week sprint gets a production-ready agent into your team's hands quickly, so you prove value before budget discussions stall.
GDPR-compliant from the first line of code, with EU hosting and on-premise options — important for regulated chemistry, pharma and research data.
You receive 100% of the code and configuration. No vendor lock-in, no per-seat surprises — your team can extend the agent freely.
Each sprint ends with measured results and a concrete recommendation on which processes to automate next, so the first agent becomes a roadmap.
Transparent fixed-price process — from idea to operation.
In a short workshop we map your processes, pick the single use case with the best return and define exactly what the agent must achieve.
Week 1We build a first working prototype on your real data and connect the relevant tools, so you see the agent acting on genuine inputs early.
Weeks 2–3We harden the prototype into a reliable MVP, integrate it into your daily workflow and train the team that will use it.
Week 4The agent runs in production. We monitor results, refine where needed and recommend the next processes worth automating.
ongoing
Darmstadt's chemical and pharmaceutical sector handles vast volumes of research literature, regulatory dossiers and quality records, where AI agents accelerate document review and compliance checks. Beispiel: An agent screens incoming research papers and patents, extracts the relevant findings and drafts a structured summary for the lab team in minutes instead of days.
As home to Europe's central spaceflight operations hub, the city runs mission control and ground-station workflows where agents triage telemetry alerts and surface anomalies for operators faster. Beispiel: An agent monitors telemetry streams, classifies incoming alerts by severity and prepares a ready-to-act briefing so controllers focus only on the events that matter.
Darmstadt's dense software and cybersecurity cluster, anchored by research institutes and IT firms, lets agents automate code review, ticket triage and security log analysis at scale. Beispiel: An agent triages incoming support tickets, drafts first-response replies and routes complex cases to the right engineer, cutting average response time sharply.
With a leading technical university and major research centres, the city generates huge amounts of experimental data and grant paperwork that agents can help organize, search and summarize. Beispiel: An agent compiles literature for a grant proposal, cross-checks citations and assembles a structured draft, freeing researchers from days of manual work.
Lors du premier échange, nous déterminons le format adapté à votre projet et la prochaine étape.
Context Studios · Kaiser-Friedrich-Str. 6 · 10585 Berlin
