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Case Studies

From business challenge to production, in weeks.

What we built

Bring us the challenge that costs the most, and we build the system that answers it. Three of those systems sit here, across market intelligence, compliance and finance, all running in production. We shaped each around its institution’s own challenge; the challenges differ, the way we build does not.

What every Base7 application shares

Delivery-led

One team owns it start to finish, the same people throughout.

Sovereign by default

Residency and compliance built in.

Live in weeks

A working MVP running in weeks.

Production-first

Measured on your own scorecard.

Full-stack AI

Every layer, from data to agents.

Model & stack-agnostic

The best model and tech stack for each task.

Standards-first

Built to ISO 27001, SOC 2 and NIST AI RMF.

Operator pedigree

Built by former Amazon operators.

Click a case study to jump to its section

Market Intelligence

Global events monitoring dashboard
Event exposure and impact view

GEMI is the market intelligence platform we built for a government entity. It monitors more than 150,000 sources across 35 languages and puts a desk of AI agents over the signal, surfacing the events that matter and modelling their reputational and economic impact so decisions rest on evidence.

Results we achieved

150,000+

Sources read, every minute

35

Languages covered

Minutes

Breaking signal to decision-ready read

24/7

AI agents watching the signal

What we changed

Before

Analysts read thousands of events a day to find the few that touched the business.

After

A desk of AI agents reads 150,000+ sources across 35 languages every minute, filtered to the footprint that matters.

Before

A signal sat public for hours before anyone tied it to the company's own assets.

After

Every event is scored and mapped to the relevant assets and regions in minutes.

Before

Risk kept landing as a fire drill, after it had already spread.

After

Each event's reputational and economic impact is modelled to catch it before it spreads.

Before

The morning started with scanning, not deciding.

After

One clear morning brief on the events that matter, with a risk read before the day starts.

Before

The firm paid for terminals and analysts, and still missed the signal.

After

The agents watch around the clock, so analysts spend the day deciding.

Compliance

Compliance engine
Regulatory obligations dashboard

ComplyBase is the compliance platform we built for a regulated financial institution. It turns regulatory obligations into a monitored, auditable workflow, tracks each obligation as it changes, evidences the controls behind it, and gives compliance teams a defensible record they can stand behind.

Results we achieved

40–60%

Cut from the cost of running compliance

Weeks

To launch a new product or licence

5 regulators

In one view, mapped to the firm's perimeter

Audit-ready

Every obligation evidenced, ready for inspection

What we changed

Before

Officers tracked five regulators by hand, across PDFs and portals that never agreed.

After

Every rule is mapped to the licence across DIFC/DFSA, ADGM/FSRA, CBUAE and SCA, in one view.

Before

A regulatory question meant hours of hunting through rulebooks.

After

AI agents answer in seconds against the exact rule, and cite the source.

Before

Due diligence was manual, pieced together by hand across external systems that never connected.

After

Enhanced due diligence runs across thousands of sources in minutes, every finding mapped to the DFSA and FSRA rulebook so the compliance officer and MLRO can sign off with confidence.

Before

Policies drifted out of date as the regulation changed underneath them.

After

Continuous gap analysis benchmarks policies against live regulation and flags what is missing.

Before

Every new product or licence waited weeks while someone read a rulebook.

After

A new product or licence moves in weeks, with the AI drafting the policy for officers to review.

Build something like these for your company.

We design it around how you operate, put a working MVP in your hands in weeks, then run it in production.

Finance

Investment market intelligence workspace
AI research view

A single-family office brought us its deal pipeline. The platform we built runs it through AI, from the first teaser to a final invest-or-pass call, and pulls holdings, reporting and market intelligence into one view the office runs on day to day.

Results we achieved

Days → minutes

From a teaser to an invest or pass decision

Every deal

Every incoming opportunity gets a full analysis

AI-drafted

Memos, due-diligence packs and IC decks, ready for the team to judge

One view

Portfolio, accounting, investments and real estate in a single workspace

What we changed

Before

Working a single opportunity from teaser to a clear view took the team days.

After

The platform runs the whole pipeline through AI, from teaser to a final invest or pass call, in minutes.

Before

Only a fraction of incoming deals got a proper analysis; the rest waited or slipped by.

After

Each opportunity is worked in minutes, so every deal gets a full look.

Before

Every memo, due-diligence pack and IC deck was drafted by hand over days.

After

AI agents draft the teaser read, memo, DD reports and IC deck in minutes for the team to judge.

Before

The portfolio and market picture reached the Principal late, assembled by whoever was free.

After

Holdings, market intelligence and every live deal sit in one workspace, updated before the day starts.

Before

When an analyst left, what they knew left with them.

After

Every decision is traceable to sourced data, with a versioned approval trail the office keeps.