Little Things Compound

Financial Applications
precisely engineered

We build high assurance software systems for critical domains, in select verticals, where precission is paramount.

Verticals

Where we work

We focus on being excellent in a small number of domains.

  1. 01

    Investment Banking, Venture Capital and Private Equity

    We build systems that automate the process of reading, understanding and distilling complex filings into high quality models and decks.

  2. 02

    Lending, Payment and Blockchain Systems

    Origination, ledgers, and the money that has to move. We build backends that stay consistent when volume, failures, and regulators arrive together.

  3. 03

    Finance, Accounting and Taxation

    We build systems that read, evaulate and forecast financial information in accounting and taxation.

Approach

How we work

We listen, we prototype, we collaborate.

I

Listen

We start by listening to your pain points, requirements and goals.

II

Prototype

We build you a prototype, at no cost, to demonstrate capability.

III

Collaborate

We leave you with the option of moving forward with us, or not.

The Company

Why we work

Intrinica was formed in 2021 with the goal of working on interesting problems that we enjoy solving.

We are a small team that believes in doing things right, focusing on the outcomes and taking pride in our profession.

  • Value People
  • Principle over Profit
  • Choose Excellence

Customers

AlphaScript

We built an agent capable of reading SEC filings and generating accurate, investment banking analyst level models, charts and full slide decks for AlphaScript. The product was demoed to Morgan Stanley, Goldman Sachs, PJT Partners, Evercore and others.

FINN

We built a disributed, fault tollerant, consistent ledger backend for Micro lending app Finn, and scaling over 1M users. Resolved charge failures, reduced cloud costs by 40% while scaling throughput by 4x.

REAP Dashboard

We built REAP an automated account generation engine that connects to accounting software backends and summarizes accounts for human to approve.

TOUCH

We built Touch a distributed machine learning platform that can train models on data that due to custody rules cannot be moved out of sensitive networks.

New Customer

Get in touch with us

A few sentences on the problem, the timeline, and who we would sit with is enough. We reply within two business days.