Case studies

Client work and our own products

The problem, our approach, and where things stand. A mix of client builds and in-house products still in development.

Developer toolingClient build

On-prem coding agent

The problem

A security-sensitive enterprise wanted AI-assisted coding, but compliance forbade any source code leaving their network or touching third-party clouds.

Our approach

We built a fully self-hosted coding agent: local models, private retrieval over their repos, and tool execution sandboxed inside their infrastructure.

The outcome

Developers got autocomplete, refactoring, and review help with zero data egress, cleared by their security team.

100% on-prem, zero egress~35% faster PR cycles0 compliance exceptionsRead the full story →

FinanceClient build

Research platform for a quant team

The problem

A quant team's research was scattered across notebooks and scripts, making ideas slow to test and impossible to reproduce.

Our approach

We delivered a unified platform: data ingestion, a backtesting engine, and AI-assisted signal discovery with full experiment tracking.

The outcome

Researchers moved from idea to validated backtest in hours, with every result reproducible and auditable.

10× faster iteration100% reproducible runs1 unified workflow

LegalIn-house product

Platform for law firms & patent filing

The problem

Patent attorneys spent enormous effort on prior-art search and first-draft applications, high-cost, repetitive, error-prone work.

Our approach

An agentic platform that drafts applications, runs prior-art search, and manages filing workflows, always with human-in-the-loop review and citations.

The outcome

Attorneys review and refine instead of drafting from scratch, cutting turnaround while keeping full control and traceability.

~60% less drafting time100% human-reviewedFull citation traceability

EducationClient build

AI courses for kids

The problem

Families wanted kids to learn AI concepts, but existing material was too abstract, too text-heavy, or age-inappropriate.

Our approach

An interactive, playful learning platform with guided lessons, safe AI sandboxes, and progress tracking designed for young learners.

The outcome

Kids learn the fundamentals of AI hands-on through play, with guardrails parents and educators trust.

Play-based curriculumSafe guardrailed sandboxK-12 age-appropriate

MarketingClient build

AI in ads & marketing

The problem

A marketing org couldn't produce and test creative fast enough, and targeting decisions were slow and manual.

Our approach

Generative and agentic systems for on-brand creative generation, audience targeting, and continuous performance optimization.

The outcome

More variations tested per campaign, faster iteration, and optimization loops that keep improving spend efficiency.

In build, currently in progressAuto optimization loopsOn-brand generation

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