Service 01 / Staffing

AI-fluent humans, on your team, in week one.

This is not body-shop staff augmentation. We screen, train, and certify against an internal AI-fluency bar. The bench is the proof.

What we place.

01 / 04

—Data engineers — batch and streaming pipelines, lakehouse, event-driven
—Analytics engineers — dbt, semantic layer, metrics
—ML engineers — training, deployment, monitoring, drift
—Applied scientists and data scientists
—Data architects — graph, lakehouse, real-time
—ML / AI Ops engineers — model registry, eval infra, observability
—Entity resolution and knowledge graph engineers — substrate engineers behind BorrowerGraph, SMB Entity Hub, EvidenceGraph, DecisionFabric
—Data governance and data product managers

02 / 04

—AI / LLM application engineers — RAG, agents, evals in the production path
—Backend, frontend, and full-stack engineers
—Platform / DevOps / SRE engineers
—Cloud engineers — AWS, Azure, GCP
—Mobile engineers — iOS, Android
—Solutions and enterprise architects
—Engineering and tech leads
—Security engineers — AppSec and AI security (prompt injection, model abuse, data exfiltration)

03 / 04

04 / 04

Four ways to work together

01
Contract. Time-bound, individual or small group. Hourly or monthly.
02
Contract-to-hire. Conversion option after a set period.
03
Direct hire. Placement fee. No ongoing involvement.
04
Embedded pods. A small pre-formed team that operates as a unit inside your org.

Geography

East and west coast metros, remote-first.

Primary cost-competitive delivery, staggered shifts for US overlap.

UK / EU

Coverage for European mid-market accounts.

We don't staff bodies into seats without the fluency bar. If you want commodity staff aug, we are not the right firm.

—You need to land an AI feature in 90 days and your team has not used an LLM in production.
—Your dev team is productive, but the next slice of the roadmap is AI work they've never done.
—You need capacity in a market (US, India, UK, EU) where we already operate.