Service 03
Turn messy information into systems people use.
We design data systems that connect raw information to analytics, products, machine learning and day-to-day operations.
Unstructured to structured, at scale
We design pipelines that turn documents and user-generated information into reliable structured datasets, combining parsing, LLM extraction, validation rules, human review and enrichment in proportion to the cost of an error.
Data platforms that serve the product
Storage, orchestration, transformation, analytics and application access are designed around the decisions they support. We work backward from the product and the operation, never a warehouse built in isolation.
Machine learning with an operating model
From supervised learning on tabular data to modern language-model systems: data and feature design, training, evaluation, deployment, and the monitoring that keeps performance visible over time.
- Schema and provenance design
- Pipelines with observable steps
- Evaluation sets tied to business consequence
- Monitoring for drift and data quality
Also from Sequoia Labs
Connected capabilities.
Product strategy & engineering
Discovery, product definition, UX, web and mobile engineering, cloud, QA, launch and continuous improvement, owned by one team.
02AI & intelligent automation
LLM products, agentic workflows, retrieval, document AI and evaluation, engineered for production with humans in the loop where errors matter.
04Advanced technology
Scientific product development across sensors, advanced materials and devices, from physical principle to product requirement.
05Technical & AI due diligence
Independent assessment of software, architecture, AI claims, data assets and delivery risk, written for investment committees.
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