Trust and financial data
The AI reads and prepares. People decide, and your core keeps the record.
Financial platforms carry money, identities and obligations. These are the design facts behind every module we build, written so your team can repeat them to compliance and to customers.
The short version
- Sprint work runs on sample deals and synthetic accounts.
- Production data stays in your AWS or Azure accounts.
- Production access only as you grant it, revocable at any time.
- Each user sees only what their role allows.
- No order, deal, interest or KYC decision goes ahead without a person.
- Values carry their source, and usage and cost are logged.
Data and decisions
We build on sample deals and synthetic accounts, not your customers.
Sprints run on sample and synthetic data, and the AI Scorecard on your own cases with names and account details removed.
How data is handled
- Sprint work runs on sample deals, documents and synthetic accounts.
- Production data stays in your AWS or Azure accounts.
- In production we work only through access you grant, and you can revoke it at any time.
- Each user sees only what their role allows, and assistants are scoped to the deal, fund or account in view.
AI controls in every module
- Values come from your documents and data, each with its source; missing values stay blank.
- No order, deal, interest or KYC decision goes ahead without a person.
- Analysis and execution are kept apart.
- The AI value is stored beside the human one; we log usage and cost in what we build.
- On or off per firm, plan or user group.
Evaluation
Quality, safety and cost are measured before launch.
Every Sprint ends with evidence, not a demo alone.
What we test
- Invented numbers and wrong sources, on your own documents.
- Another user's deal or account returned: tested, and held at zero.
- Prompt injection from uploaded documents, filings and posts.
- Cost per user on two models.
For your compliance reviews
- A security overview and a data-flow sheet for each module.
- Help answering the AI sections of customer and partner security questionnaires.
- A way to switch the feature off per firm or plan.
We work within your SEC, FINRA, AML and KYC, and privacy requirements. Compliance depends on the complete product, contracts, policies and operating environment; Datics does not present software engineering alone as legal certification, and nothing a module shows is investment advice on its own.
Regulations
SEC, FINRA, AML and KYC, in plain terms
Investment platforms work under securities, anti money laundering and privacy rules, and recommendations to investors draw regulators' attention. We work within your SEC, FINRA, AML and KYC, and privacy requirements, and design modules so people make every decision. Compliance depends on your complete product, contracts, policies and operating environment, so we never present software engineering alone as certification.
Where we are
Austin, Texas, with US-hours overlap.
Working with us
- Datics AI is headquartered in Austin, Texas, where our CEO is based. Product Review calls run in US Central time.
- A named lead engineer and US-hours overlap on every engagement.
See it on your own platform.
Bring one product, workflow or AI feature. In 30 minutes we tell you which of the three ways to start fits, what it would cost to serve per user and what your compliance team will ask.
Calls run in US Central time. No generic AI presentation: we discuss your product, users and production constraints.