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Real results.
Measurable impact.

A few projects we've shipped with forward-thinking teams. We can only share what's public — the most interesting work usually isn't.

Brex
Fintech

AI-powered spend management at scale

Brex needed to categorise millions of transactions and reconcile in real time. We shipped an LLM-powered categoriser with eval-driven guardrails — and a 60% drop in manual review.

60%
Review time saved
2.4M
Daily transactions
98%
Auto-categorise accuracy
GenAIMLOpsFintech
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instacart
E-commerce

Demand forecasting that respects reality

Replaced a brittle forecasting stack with a deep-learning pipeline tuned to local demand spikes. Less waste, fewer stockouts, calmer ops teams.

35%
Stockout reduction
1.8x
Forecast accuracy
12 wk
From design to prod
MLData engE-commerce
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ramp
SaaS

Expense automation with OCR + LLM

We replaced a queue of manual reviewers with a multi-modal pipeline that reads receipts, infers policy and writes audit trails — with humans in the loop where it matters.

70%
Time saved per report
10x
Throughput
99.2%
Audit-pass rate
VisionLLMWorkflow
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AngelList
Marketplace

Investor–founder matching at marketplace scale

Built a recommender that surfaces high-fit investors for founders and vice versa, with explanations a human can defend.

90%
Match accuracy
4x
Founder–investor intros
<200ms
P95 latency
RecommendersSearch
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