Live Proof. Not Promises.

What was broken

Fortune 100 hiring teams were drowning in resumes. Manual screening took days, inconsistent scoring eroded trust, and recruiters were forced to copy-paste details between legacy systems.

What we did differently

We designed a secure resume ingestion pipeline backed by spaCy and BERT NLP models. The system parses raw files, scores candidates against custom rubrics, and writes structured data into ATS and CRM tools with full audit trails.

What was broken

Leaders were waiting days for analysts to compile spreadsheets and slide decks. Manual processes were error-prone and couldn’t scale with volume spikes.

What we did differently

We built a job orchestration pipeline that transforms live data into templated reports, validates quality, and distributes outputs to stakeholders with full observability.

What was broken

Dashboards took months to build, data was stale, and teams lacked a unified view of revenue and fulfillment.

What we did differently

We orchestrated event pipelines, built modular visualization components, and deployed a secure analytics portal with company-wide access controls.

What was broken

The legal industry is fragmented, precedent research is slow, and operational tooling hasn’t kept pace with the scale of cases.

What we did differently

We embedded with 300+ lawyers to map workflows, designed AI copilots for drafting and precedent search, and prototyped a knowledge graph to link statutes, orders, and briefs.