Custom LLM applications, RAG systems, AI automation and fine-tuning for United States businesses. Fixed-fee scoping, shipped to production, and you work directly with the engineer who writes the code.
| Tier | Starter | Growth | Enterprise |
|---|---|---|---|
| Best suited to | A defined question or architecture decision | A system with a known scope | An ongoing roadmap and platform |
| Engagement | Discovery sprint | Build | Platform |
| Typical duration | 1–2 weeks | 4–12 weeks | Ongoing |
| Output | Architecture + roadmap | Production system | Roadmap + team |
| LLM integration | ✓ Assessed | ✓ Built | ✓ Multi-model |
| RAG / knowledge base | — | ✓ | ✓ Advanced |
| Fine-tuning | — | Optional | ✓ Included |
| Post-launch support | — | 30 days | Retained |
Every engagement starts with a free discovery call and a fixed-fee proposal — scope, deliverables, timeline and price agreed before any work starts. No hourly billing. Every engagement is scoped in a free consultation before anything is quoted. You receive a written fixed-fee quotation covering scope, deliverables and timeline — no hourly billing, no open-ended retainer, and no number until we understand the work.
Scoped before it is built. Every engagement opens with a free discovery call, then a written proposal: scope, deliverables, timeline and a fixed fee. No hourly billing and no open-ended discovery. If a project should not be built, we say so at that stage rather than after the budget is spent.
Production, not proof-of-concept. US B2B buyers research in public: review sites, comparison pages, and AI assistants all sit between the first search and the demo request. The deliverable is a system running in your environment with monitoring, cost controls and documentation — plus 30 days of post-launch support on every build.
Visibility included. The US is the most competitive organic-search market in the world, and it is also where AI answer engines were adopted first — which means US buyers increasingly meet a brand inside an AI answer before they ever see a blue link. Where it matters, AI builds pair with United States SEO and United States GEO so the product and the demand arrive together. See how we work and the live systems already shipped.
Custom LLM application development, RAG knowledge systems, AI workflow automation, model fine-tuning (SFT, DPO, LoRA, QLoRA), AI strategy audits and production engineering — delivered for United States businesses on a fixed-fee basis.
Every engagement is scoped in a free consultation before anything is quoted. You receive a written fixed-fee quotation covering scope, deliverables and timeline — no hourly billing, no open-ended retainer, and no number until we understand the work. A discovery sprint is typically one to two weeks and produces the architecture and roadmap; a build runs four to twelve weeks depending on scope. Price is agreed in writing before work starts.
Yes. Modulus is remote-first and works across ET/PT (US business-hours overlap). United States clients get scheduled calls in local business hours and direct access to the engineer building the system — there is no account-manager layer.
Both, chosen per workload. Frontier APIs where quality and speed of delivery dominate; open models where cost, latency, data residency or control dominate. The trade-off is documented in the proposal rather than decided by default.
Every build includes 30 days of post-launch support, documentation and handover. Ongoing support, iteration and roadmap work are available as a retained engagement if you want it — not required.
Dam — founder and lead engineer. When you hire Modulus you work directly with the person writing the code. That is the reason scoping is fast and the reason the studio takes a limited number of engagements at a time.
Operators with a real workflow problem — repetitive judgement work, document processing, support triage, internal search — where a well-scoped system pays back inside a year.
Product teams adding AI features that need the retrieval, evaluation and cost engineering done properly rather than a demo wired to an API key.
Leadership teams needing a decision before committing budget: what to build, what to buy, what to skip, and what it will actually cost to run.
Modulus works with US teams where the problem is operational rather than experimental — where a system has to survive contact with real volume, real compliance and real customers.
Also available for: United Kingdom · Singapore · Australia · Hong Kong · Indonesia · Germany · France
Free discovery call. Fixed-fee proposal. Production systems.
Tell us the problem. We’ll come back with scope and a fixed fee.