TeamUP Tech.ai
The operating system
for engineering talent
The context layer that makes engineering staffing and services actually work.
We are not an AI recruiter.
TeamUP is surface-agnostic, agent-driven, context-first infrastructure. We connect enterprise engineering buyers to a consented, verified network of engineers — and give engineer-led consultancies the same rails to run their own delivery businesses.
The context follows the recruiter wherever they work. The revenue follows the context.
Positioning
Why an operating system — not an AI recruiter
The AI-recruiter category is crowded and being commoditized in real time. Buyers are already fatigued. The moment we land in that bucket, we get compared on outreach copy and cost per email — a race we do not run.
AI recruiters
Automate a task
They produce outbound and hope volume substitutes for fit.
Produce outbound
Copy quality and cost-per-email become the whole comparison.
Replace a sourcer
The coordination layer between buyer, engineer, and delivery stays broken.
TeamUP
Operate a category
We are the operating system for engineering talent markets.
Maintain consented context
Persistent, structured, verified identity for every engineer in the network.
Replace the coordination layer
Enterprise buyer, engineer, and delivery of engineering work on one set of rails.
Technical positioning: context infrastructure for engineering talent markets. Customer-facing positioning: the operating system for engineering talent. Every capability in the platform serves one or the other. Both point to the same product.
The market
One infrastructure. Three audiences.
Built for semiconductor, aerospace, and defense engineering organizations — Marvell, ARM, Broadcom, Lockheed Martin, BAE, GDMS, L3Harris, RTX, Moog, Honeywell Aerospace, Textron, and their peers.
Primary customer
Enterprise engineering buyer
Cleared and specialized talent is scarce and mispriced. MSPs treat every req as generic labor. Time-to-fill on cleared engineering is 90–120 days when it should be 30. Vendor-routed staffing dilutes technical context until “UVM verification for cache coherency” is just another keyword.
We sell direct via enterprise MSAs. No MSP. No vendor-of-vendor routing.
The candidate
The engineer
Senior DV engineers see 40+ cold touches a week, 90% off-target. Rate, contract vs FTE, geo, clearance, family situation, and career stage stay invisible. Every recruiter interaction restarts from zero. Margin disappears into layers that never reach them.
The engineer gets a TeamUP agent that lives across their career. The buyer subscribes to the context that agent maintains.
The third audience
Engineer-led consultancies
Operators get the same rails we run ourselves — candidate search, agent-driven outreach, roster management, pipeline orchestration, and EOR back-office. They extend the supply-side network. Buyer relationships flow back through the platform.
Same infrastructure. Their delivery business. Our network compounds.
The structural pain
Enterprise TA has no shared memory
LinkedIn Recruiter, the ATS, MSP portals, and email are disconnected surfaces. The recruiter three layers from the hiring manager does not know the work.
45–80%
MSP markups
Paid for indifference when every req is treated as generic labor.
90–120 → 30
Days to fill, cleared
The cycle time the market accepts versus the cycle time the work requires.
5 surfaces
Zero shared context
Sourcing, hiring, and outreach tools do not remember the engineer.
Direct MSA
No vendor routing
Technical context stays with the buyer instead of dying in a stack of vendors.
What TeamUP actually is
Agents on both sides. One shared context layer.
A traditional engineering staffing firm has a recruiting side and a sales side. We built agents to do all of that work. That’s the product. Everything else is packaging.
Recruiting-side agents
Belong to the engineer
- Sourcing, screening, and matching
- Availability tracking and rate negotiation
- Profile management and pipeline movement
- Submission packaging
Shared context
ROAST · archetypes · graph
Sales-side agents
Serve the enterprise buyer
- Buyer relationships and req intake
- Submission delivery and contract negotiation
- EOR fulfillment and clearance processing
- Delivery management
The strategic wedge
Capture the candidate first
Buyers pay for signal. Signal comes from consented, structured engineer data. That data exists only if engineers choose to give it — which they do when the product gives them something they cannot get anywhere else.
A personal TeamUP agent with three capabilities
Personal forwarding address
Hand it to any recruiter or job board. Inbound noise is parsed, scored, and filtered against real preferences.
Managed ROAST profile
Rate, opportunity type, availability, skills, and travel — controlled by the engineer, sharper with every market interaction.
Autonomous response modes
Auto-decline the wrong roles politely, surface the right ones on their channel, or hold for approval before anything goes out.
The engineer keeps their identity, controls their data, and can share a portable TeamUP link with a recruiter, hiring manager, consultancy operator, or peer. They get their inbox back. We get consented, structured, verified engineer data that no enterprise buyer can purchase anywhere else.
That candidate-first capture is the acquisition motion Mercor doesn’t have, LinkedIn won’t build, and Eightfold structurally can’t replicate — they sell to HR, not engineers.
Onboarding accelerator
Prebuilt talent pools on day one
Enterprise talent platforms have a cold-start problem: customers sign, then wait 90 days for the pipeline to warm. That first quarter is where most platforms lose renewal. TeamUP eliminates the dead zone.
The market default
Months to first value
Wait for a req. Then source. Then warm. Then hope the pipeline exists before renewal.
The TeamUP compression
Months collapse to days
We ingest public engineering archetypes, map them to the network, and warm pools before the first req exists.
Pre-scored candidates
Archetype matches with ROAST fit rationale already attached.
Pre-consented conversations
Engineers who have already replied and shared availability.
Pre-enriched contact data
Personal email and mobile via the Clay waterfall.
A living pool
Sharper every week the customer is on the platform.
The data compounds. Every warmed candidate stays in the network. If a customer churns, their prebuilt pool became verified engineers who now serve every other customer. That’s not a bug — that’s the model.
Enter the demo
The operating system is live. Context is the product.
Open a session to run recruiting-side and sales-side agents on the same shared layer — ROAST profiles, archetypes, and the consented network.