Three people. AI as the fourth.
AI-driven product engineering for regulated industries. A senior 3-person team ships what used to take 8 — without compromising compliance, security, or the architectural judgment that keeps things working at scale.
What we do
Four practices, one goal: get your product to market and keep it there. Every engagement is tailored to your stack, your timeline, and your regulatory reality.
Fintech Software Development
Build and scale fintech platforms that handle real money, real compliance, and real users. Payments, lending, and banking infrastructure — architected for regulation from day one.
- Payment processing & ledger systems
- Lending & credit platforms
- Banking & card infrastructure
- KYC/AML compliance integration
- PCI DSS & SOC 2 readiness
RegTech Development
Build the compliance platforms that regulated industries depend on. AI document review, surveillance systems, audit workflows — engineered for the regulators, not just the end user.
- AI-powered document review
- Regulatory change management
- Audit workflow & evidence systems
- Surveillance & monitoring platforms
- Compliance reporting SaaS
AI & ML Solutions
AI agents, ML pipelines, and intelligent automation purpose-built for regulated industries. Not prototypes — production systems with guardrails.
- AI agent development & orchestration
- ML pipeline design & deployment
- NLP & document intelligence
- Retrieval-augmented generation (RAG)
- Model monitoring & compliance logging
DevOps & Infrastructure
SOC 2-ready infrastructure, CI/CD, monitoring, and audit-ready deployment pipelines. The unsexy work that keeps regulated products running.
- Cloud infrastructure (AWS, GCP, Azure)
- CI/CD pipeline design
- Monitoring, alerting & observability
- Infrastructure as Code (Terraform, Pulumi)
- Audit logging & compliance automation
The 3-person AI-driven build team
Most builds need three senior people, not eight. AI handles what used to require headcount; senior judgment handles what AI gets wrong. The result is faster delivery at roughly half the cost.
Tech PM
Owns the roadmap, writes specs the AI can build from, and talks to your customers. Single point of contact with your product team. Reads code well enough to validate AI output and architectural decisions.
Senior Architect
Designs the system and writes the critical paths. Directs Cursor, Claude, and codebase-tuned prompts as a force multiplier — compressing what used to take days into hours. Senior enough to know what breaks at scale, and where AI gets it wrong.
QA Engineer
Owns quality. Designs test strategies, validates security and accessibility, and catches the edge cases AI generates correct-looking-but-wrong code for. More important on a lean team, not less.
Need parallel workstreams, multi-product integration, or deep legacy expertise? We scale up with embedded engineering teams — see AlphaSense and ACA Group.
How a build runs
Same shape every time, different scope. No sales-cycle theatre, no surprise scope creep, no opaque deliverables.
Discovery sprint
1-2 week paid scoping. We read your code, interview your team, and write a phased architecture brief — what's working, what's at risk, and what we'd actually build. You get the plan with milestones and effort estimates whether or not you continue with us.
Architecture & scoping
The Senior Architect defines the system. AI tooling helps explore trade-offs and prototype critical paths before we commit. Scope and milestones get written down before any production code gets written, and in-flight changes go through written change requests.
AI-accelerated build
The Architect ships features at 3-4x traditional developer pace using AI for boilerplate, test scaffolding, and docs. The Tech PM keeps requirements current; QA validates what AI misses. You see commits the day they happen, with demos every two weeks.
Operate & iterate
Documentation, runbooks, and handoff training so your team can own what we built. We stay on retainer if you want ongoing support. Many engagements convert into multi-year partnerships — AlphaSense (3+ years), ACA Group (3+ years), Encore Compliance (18+ months).
Which service is right for you?
Most clients start with one of these situations. Pick the closest match — we'll figure out the right scope together.
You're building a fintech product
Payments, lending, banking infrastructure, wealth management, KYC/AML. You need PCI/SOC 2 readiness from the architecture up.
You're building a compliance platform
Document review, regulatory change management, surveillance, audit workflows. You're shipping software that compliance teams use to do their job.
You're adding AI to an existing product
AI agents, ML extraction pipelines, document intelligence, retrieval-augmented generation. Production systems with guardrails, not prototypes.
Your infrastructure can't pass audit or scale review
Cloud spend out of control, SOC 2 gaps, fragile deploys, missing audit trails. You need the foundation rebuilt before you can grow.
You're not sure yet — need a technical assessment first
A 48-hour audit of your codebase, infrastructure, and team. You get a 17-slide board-ready brief surfacing security, compliance, and scalability findings.
Frequently asked questions
How does the 3-person AI-driven team actually work?+
A Tech PM owns roadmap and specs, a Senior Architect builds the system using AI tooling as a force multiplier, and a QA Engineer owns quality. AI handles boilerplate, test scaffolding, prototyping, and operational documentation; senior judgment owns architecture, security, edge cases, and the calls AI gets wrong. The result is the same output as a traditional 8-person squad at roughly half the fully-loaded cost — and faster, because there's no coordination tax.
How is AI actually used in delivery?+
Our Architect uses Cursor, Claude, and codebase-tuned prompts as a force multiplier — generating boilerplate, exploring trade-offs across multiple implementations, writing initial test suites, and producing operational documentation. The judgment calls about architecture, security, and edge cases stay with the senior human. We've written about the pattern in our post on the 3-person AI-driven team model.
What about projects too large for a 3-person team?+
We scale up. For parallel workstreams, deep legacy systems, or multi-product integration across a large platform, we run embedded engineering teams with multiple architects, engineers, QA specialists, and PMs. See our AlphaSense (10+ engineers, 3+ years), ACA Group (3+ years), and Encore Compliance engagements as examples of when scope demanded more than the lean default.
How are engagements billed?+
Discovery sprints are fixed-fee. AI-driven 3-person teams run on monthly retainer, with rates that depend on scope and the seniority required (lean teams concentrate spend on genuinely senior people). Larger embedded teams price per-team-member monthly. Fixed-fee builds are available when scope is clear enough to commit to.
What's a typical engagement length?+
Discovery: 1-2 weeks. AI-driven 3-person builds typically run 2-6 months from architecture to first production release — faster than traditional teams because there's no coordination tax between roles. Embedded multi-person partnerships often run multi-year (AlphaSense 3+ years, ACA Group 3+ years, Encore Compliance 18+ months).
Do you only work with fintech and RegTech companies?+
Our deepest experience is in regulated industries — fintech, RegTech, healthtech, and expert networks — but we also work with vertical SaaS companies where compliance, audit readiness, or operational rigor matter more than speed-to-MVP. We don't take on B2C consumer apps or projects without a technical reason for needing senior engineering.
Let's talk about what you're building
30-minute call with a senior engineer. No sales pitch — just a conversation about your product and how we can help.