Most AI projects die in pilot. We ship yours to production.
Document automation, AI SaaS MVPs, and AI integrations — typically scoped, built, and launched in 4–6 weeks for focused engagements.



What we do
Three things we do
better than anyone.
01AI Product & MVP Development
From scoped idea to deployed SaaS in 4–6 weeks. Architecture, AI layer, and UI — production-grade from day one.
- Full-stack build, not a prototype
- AI integrated, tested under real load
- Fixed scope, fixed price
02AI Document Automation
Turn invoices, contracts, and reports into structured data. Classify, extract, validate, route — end to end.
- Confidence-scored extraction
- Human review for exceptions
- Scoped pipeline delivered in weeks
03AI Integration & Automation
Connect Claude, GPT, and custom models into your existing tools — CRM, Slack, ERP — via clean, monitored workflows.
- Claude / GPT / custom LLMs wired in
- Triggers from email, webhook, or form
- Observable, logged, human-in-loop ready
AI Training Data Pipelines
Structured, labeled, clean data so your models train on signal — not noise. ETL, validation, and versioning included.
AI Product Design & UX
Interfaces built for AI products — prompt UIs, dashboards, review queues. Tested with real users before a line of prod code.
MLOps & AI Deployment
CI/CD for AI — model versioning, rollback, cost monitoring, and alerting. Your AI stays live, observable, and under control.
Ready to ship your AI product?
Fixed scope. Fixed price. Production-grade from day one.
Integration & Automation
Your tools and AI,
finally working together.
We sit an AI layer between your existing systems and the actions you want automated — so data flows in, intelligence happens, and the right thing happens next. No brittle scripts. No manual copy-paste.
- Trigger from uploads, emails, webhooks, or forms
- AI classifies, extracts, decides, and drafts
- Routes results to the tools your team already uses
- Monitored and logged, with human-in-the-loop where it matters
How we work
A clear process. Zero surprises.
Why we can ship in 4–6 weeks
Speed comes from discipline, not shortcuts. We commit to a tight, fixed scope up front and build on architecture we've shipped before — so the weeks go into your product, not boilerplate.
We lock a narrow MVP scope before sprint one — no creep, no moving targets.
Battle-tested foundations and reusable building blocks, not a blank repo.
We build with AI-assisted workflows that compress the grind work.
You work directly with the engineers building it — no layers, no ramp-up.
Selected work
Shipped to production.
Live client work
Case studies
AI Knowledge Platform
Built a multi-tenant knowledge platform with ingestion, vector search, access controls, and answer workflows.
Fintech & Payment Integration System
Designed an integration and orchestration layer for payments, reconciliation, ledger updates, and exception handling.
AI Document Automation Platform
Built OCR, classification, extraction, validation, and human review into one document pipeline.
Why SofGent
What our delivery commitment includes.
Built for
Whoever owns the outcome.
Founders
Get a real, demo-ready AI product in front of users and investors in weeks — without hiring a team or burning runway.
CTOs & Eng leaders
Reviewable architecture, tests, monitoring, and documentation designed for a clean handover to your engineering team.
Operations teams
Automate the manual document and data work eating your week. We map the process, then ship the system that runs it.
Delivery evidence
Work shipped to production.
Live client platforms and the delivery controls included in our engagements.
Heart & Haven Care
Full healthcare services site — Domiciliary Care, Temporary Staffing, and Supported Living — shipped to production for a CQC-registered UK provider.
Solidarity Center (ACILS)
A website for tannery workers delivered for the American Center for International Labor Solidarity — built for clarity, accessibility, and reach.
Delivery model
A written scope and price, weekly working demos, acceptance testing, monitored deployment, and 30 days of post-launch support.
Engagements
Fixed scope. Fixed price.
No surprise invoices.
Every engagement is scoped on the first call. You'll know exactly what you get, when, and for how much before we start.
A single AI workflow or document pipeline, live in production.
- 1–2 week delivery
- One integration / pipeline
- Deploy + handover
A full, production-ready AI product your users and investors can touch.
- Typical 4–6 week delivery
- Full stack + AI layer + UI
- Acceptance testing + monitored launch
- 30-day post-launch support
Ongoing build & iteration for teams scaling an AI product.
- Monthly rolling sprints
- Dedicated senior team
- Roadmap + priority support
Launch quality and support
Before launch, we verify the agreed acceptance criteria, production configuration, monitoring, and rollback path. Thirty days of post-launch support are included for defects within the agreed scope.
FAQ
Questions, answered.
Still unsure? Book a free 30-minute call and we'll talk specifics.
Book a CallHow can you really ship in 4–6 weeks?+
We scope tightly, reuse battle-tested architecture, and build with AI-native tooling. The first call produces a fixed scope — we don't ship feature creep, we ship the product that solves the problem.
Is this a prototype or production code?+
Production. Real architecture, tests, monitoring, and documentation — code your own engineers would approve in review. No throwaway demos.
Who owns the code and IP?+
You do — fully. Everything is delivered in your repos and your cloud accounts. No lock-in.
What happens after launch?+
We own the deploy and stay engaged for 30 days post-launch. After that you can self-serve, or continue with a Product Partner engagement.
What if the scope changes mid-build?+
We flag it immediately and re-scope transparently. You always know the cost and timeline impact before anything changes — no surprise invoices.
Ready to ship your
AI product?
Book a Call. We'll scope your project, give you a timeline, and tell you exactly what it'll take.


