Production AI
for financial
services.
Built by operators. Shipped, not slide-decked.
We embed with your team, scope the problem, and ship a production AI system on your stack in 8–12 weeks. The deliverable is running software — not a deck.
Engagements
What we do
Forward-Deployed AI Engineering
8–12 weeksWe embed directly with your team. We scope the problem, design the system architecture, and build it on your stack — not ours. Every engagement ends with running software in your infrastructure and a full knowledge transfer to your engineers.
Suited for fintechs and financial institutions ready to move a specific workflow — underwriting, fraud detection, compliance review, client ops — from manual to AI-native.
AI Adoption Sprints
2–4 weeksWe identify your highest-ROI AI use cases, validate technical and compliance feasibility against your actual data environment, and deliver a 90-day build plan your team can execute — or we can.
Suited for organizations that need to move from "we should be doing something with AI" to a concrete, sequenced plan with clear ownership and realistic timelines.
Vertical Focus
Financial services is where AI either ships safely or doesn't ship at all.
Regulated data doesn't move like SaaS data. Audit trails aren't optional. Model risk management is a compliance requirement, not a best practice. Custodian APIs, core banking integrations, and PMS/OMS data structures have constraints that most AI engineers have never encountered.
KYC/AML workflows, BSA obligations, and SEC/FINRA data-handling rules shape what you can build and how. Compliance-by-design isn't a layer you add at the end — it's the architecture. We build for that reality from day one.
We work exclusively in financial services because the domain knowledge compounds. Every engagement makes the next one sharper. We don't bring a generic AI playbook and adapt it. We bring a financial services engineering practice and apply it.
Engagement Model
How we work
Scope
We define the problem precisely — data sources, system boundaries, success criteria, and compliance constraints — before writing a line of code.
Embed
We join your team. We work in your environment, on your stack, with your data. No black-box vendor relationship.
Ship
We build and deploy a production system — tested, monitored, and running on your infrastructure. Not a prototype.
Transfer
We hand off the system with full documentation, runbooks, and working sessions until your team owns it completely.
Why Invariant
What makes us different
Senior operators.
Every engagement is led by engineers who have shipped production AI systems at scale in regulated environments — not managed them from a distance. We've dealt with model risk frameworks, data governance constraints, and core system integrations firsthand.
Builders, not deck-makers.
The deliverable is running software on your infrastructure. We don't produce strategy documents, capability assessments, or roadmap presentations as the primary output. If you need a deck to get internal buy-in, we'll help — but the work ends with code in production.
Domain fluency.
We speak financial services natively. Custodian APIs, core banking data models, PMS/OMS schemas, KYC/AML pipeline constraints, and how regulated data actually moves between systems. That fluency cuts weeks off every engagement.
Get Started
Ready to ship?
Tell us what you're trying to build. We'll respond within one business day.
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