Solutions for Every Company

How AI development shifts with company size

Whether Context Studios fits startups, mid-market, or enterprises is best answered with a counter-question: how much governance, legal review, and security review can your initiative absorb? For early-stage startups (up to 15 people, pre-seed to Series A) working with us means primarily speed — the MVP Sprint at the fixed fee of 18,000 euros delivers a productive system in four weeks because we take all decisions directly with the founding team. For growth-stage mid-market companies (50 to 500 people) we bring experience with established IT landscapes — we integrate into SAP, DATEV, HubSpot, and Atlassian setups without forcing a rebuild of your existing stack. For enterprises (1,000+ people) we typically work as part of a consortial approach: we ship the AI agent layer while other partners cover legacy integration. This hub bundles our pages by company size so that company-size decision-makers — whether a seed founder, a mid-market owner, or a head of digital in an enterprise — find a matching entry point immediately.

Technical embedding by IT maturity

Beyond head count our way of working adapts to the technical maturity of your organisation. Young companies without a dedicated platform team we host fully on Vercel and Convex — that stack reduces ops overhead to near zero and still scales into the six-figure requests per month range. Mid-market firms with an existing AWS or Azure landscape we deploy straight into the available cloud environment, including Terraform manifests and integration with your existing monitoring solutions (Datadog, Grafana, Dynatrace). For enterprises with strict on-prem requirements we run proofs of concept inside your infrastructure and work closely with the internal security teams. Our toolchain stays consistent across all three: LangGraph for orchestration, Claude or GPT for inference, MCP for tool coupling, pgvector for embeddings. What changes is the environment, not the conceptual setup. That lets us transfer learning curves and best practices from small projects directly into enterprise programmes.

Which company size gets which offer

For startups and solo founders the MVP Sprint is the natural entry — a four-week fixed-price package with an explicit deliverable list. For small and mid-sized businesses we recommend the quarterly model: three months of bundled engineering time, monthly strategy review, a fixed point of contact from our team. For enterprises we work in annual master agreements with quarterly sprints that each land on a business outcome — for example the migration of one specific process into an agentic workflow. Price-wise these models sit between 18,000 euros (MVP Sprint) and 150,000 to 400,000 euros per year (enterprise framework). All offers are published transparently in the imprint and our proposal documents — we do not work with "price on request" ranges. If you are not sure which size category applies to your organisation, open the relevant landing page in the grid and compare the reference architectures described there with your own situation. For borderline cases our guidance is straightforward: start one notch smaller and scale later rather than tender an enterprise programme that is never lived out.