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Two platforms, backed by custom services.

Project-based Crowdsourcing for enterprise projects of every kind — from consulting and software builds to R&D innovation and IP discovery. AI Hire for faster, smarter candidate evaluation. Each is a platform paired with hands-on services that tailor the work to your problem — because platform plus services is how we deliver the best value.

Who we serve

Three customer groups across our two platforms — Project-based Crowdsourcing and AI Hire.

Federal R&D · Crowdsourcing

Federal agencies & primes

NASA Tournament Lab, NIH, USBR, HHS, and others. Mission-critical research challenges, IP discovery, and AI evaluation delivered as a prime contractor with full compliance and audit trails.

Enterprise innovation · Crowdsourcing

Enterprise R&D & product teams

Airbus, EPRI, NTT Data, Post Holdings, and others. Crowdsourced solutions to hard technical, scientific, and operational problems — with managed delivery and SME-driven evaluation.

Staffing & talent · AI Hire

Staffing firms & enterprise TA

Staffing agencies and in-house enterprise TA teams using CrowdPlat AI Hire to evaluate candidates faster, submit stronger shortlists, and automate RTR & compliance workflows.

Our story — from one platform to two

Founded in 2013, CrowdPlat began with one platform: an enterprise crowdsourcing engine built to mobilize global expert communities for projects of every kind — from consulting and software builds to R&D innovation and IP discovery. Three U.S. patents and one overseas patent later, that platform — paired with our delivery services — became a trusted partner for federal R&D agencies and for enterprises that need outcomes, not just output.

In recent years we built a second, distinct platform on top of the evaluation rigor we’d developed inside crowdsourcing. CrowdPlat AI Hire brings AI-powered candidate evaluation to staffing firms, recruiters, and enterprise TA teams — turning resume screening, role-specific assessment, and Right-to-Represent compliance into an evaluation layer rather than a manual workflow. It has its own pending patent, its own go-to-market motion, and its own buyer — offered as a SaaS platform and, for teams that need it, custom services that tailor it to their workflow.

Two platforms, not one. They share infrastructure, evaluation discipline, and our solver network. They deliver distinct value, and have distinct roadmaps and pricing — and we’re deliberate about that.

The two platforms, in detail

What each one is, who buys it, and how it’s sold.

Platform 1 · Crowdsourcing

Project-based Crowdsourcing

What it is: Prize challenges, R&D innovation, technology landscape analysis, AI evaluation, and IP discovery — delivered as scoped, milestone-driven engagements with a named US-based project manager. Sourced from our global solver network or via pre-formed freelance teams ready to start on day one.

Who buys it: Federal R&D agencies (NASA NTL, NIH, USBR, HHS), state & local government, enterprise R&D and product teams (Airbus, EPRI, NTT Data, Post Holdings).

How it’s sold: Scoped engagement with fixed deliverables and milestones. Two sourcing models: open challenges to a vetted global solver network, or deployment of a pre-formed freelance team. NASA NTL NOIS3 IDIQ prime ($475M ceiling). Backed by 3 U.S. + 1 overseas patents on the platform.

Crowdsourcing page →
Platform 2 · AI Hire

CrowdPlat AI Hire

What it is: An AI-powered candidate evaluation platform that scores resumes against the role’s actual requirements (not keywords), generates role-specific screening questions, handles Right-to-Represent workflows, and surfaces a ranked shortlist instead of a keyword pile.

Who buys it: Staffing firms, recruiters, and enterprise talent-acquisition teams. 50+ staffing agencies currently posting 100+ jobs on the platform.

How it’s sold: Two ways to engage — the self-serve SaaS platform (free tier, paid by volume), or custom services that embed AI Hire into your ATS (Bullhorn, JobDiva, Greenhouse, Lever, Workday) and build the complex workflow integration B2B and staffing teams need. Texas DIR contract vehicle (estimated $800M value). 1 patent pending on the evaluation engine.

AI Hire page →

We didn’t start CrowdPlat to build another consulting bench or another job board. We started it because two kinds of problems rarely get solved by adding more headcount: hard project work (federal R&D, IP discovery, technology landscape studies) and hard hiring decisions (the high-stakes candidate evaluations that staffing firms and enterprise TA teams make every day). Both get solved when the right person is matched to the right work, with the right incentive, and with someone accountable for the outcome.

That belief shows up as two platforms. Project-based Crowdsourcing pairs a hard project with a vetted global expert — or a pre-formed freelance team — and a named US project manager. AI Hire pairs a job with an evaluation engine that scores candidates against the role, not against keywords. Different platforms for different problems — same belief that rigor beats gut feel, and on-demand specialists beat a rented bench.

— Sal Sarosh, President & CEO

Our mission

To be the world's most trusted platform for discovering and activating human intelligence — at scale. We help organizations move from hiring committees and consulting engagements toward something faster, broader, and more rigorously evaluated: a global community of experts and the AI infrastructure to deploy them.

Our values

Three principles that shape how we work.

Expertise & ingenuity

We bring deep technical, scientific, and operational expertise to every engagement. Where the path isn't obvious, we design one.

Accountability & discipline

Every engagement has named accountability — primary plus backup — structured cadence, and measurable success criteria. Predictability is a feature, not an accident.

Trust through delivery

We earn renewal contracts and repeat business by delivering, not by promising. Our customers come back because the work works.

Patents & recognition

Independent validation of the platform and the practice.

4 issued patents · Crowdsourcing

Three U.S. patents and one overseas patent covering systems and methods for technology project crowdsourcing — the core platform behind every project-based engagement.

1 pending patent · AI Hire

A pending application describing the AI Hire evaluation engine — how candidates are scored against job-fit scoring criteria and routed through Right-to-Represent workflows.

NASA NTL prime · Crowdsourcing

Prime status on NASA’s NOIS3 IDIQ ($475M ceiling, multi-year), plus prior NOIS2. The federal R&D vehicle behind a decade of crowdsourced delivery for NASA, NIH, USBR, and HHS.

Texas DIR contract · AI Hire

AI Hire deployment under the Texas DIR contract vehicle (estimated $800M value) — 250+ requisitions evaluated, 10,000+ candidates scored, with audit-ready submission workflows automated end-to-end.

What sets each platform apart

The differentiators for each of the two platforms — tagged so it’s clear which platform each row applies to.

Sourcing model
Crowdsourcing
A vetted global network of specialists across 50+ countries — matched on demand to the exact problem, not pulled from a fixed consulting bench.
Candidate evaluation
AI Hire
AI scores resumes and screening answers against job-fit scoring criteria — not keywords. Offered as a self-serve SaaS platform, or as custom services that embed it into your ATS and tailor the workflow for staffing firms and enterprise TA teams.
Delivery accountability
Crowdsourcing
Every project-based engagement has named US-based project leadership (primary plus backup), structured cadence, and measurable success criteria. Predictability is built in.
Major contract vehicles
CrowdsourcingAI Hire
NASA NTL NOIS3 IDIQ prime ($475M ceiling) for crowdsourcing. Texas DIR vehicle (estimated $800M value) for AI Hire. Compliance and audit trails are first-class workflows on both platforms.
IP & platform protection
CrowdsourcingAI Hire
Three U.S. patents and one overseas patent on the crowdsourcing platform; one pending patent on the AI Hire evaluation engine. Crowdsourced IP transfers from solver → CrowdPlat → client are governed by upfront agreements.
Engagement model
CrowdsourcingAI Hire
Crowdsourcing flexes from prize challenges to fixed-scope projects to long-running services engagements. AI Hire flexes from a free self-serve SaaS tier through paid plans to custom services — ATS and workflow integration. Both are platform plus services.

How each platform works

Same four-step backbone — defined, sourced, evaluated, delivered — but the work inside each step is platform-specific.

01

Define

We scope the problem with you: success criteria, constraints, evaluation rubric, and timeline.

Crowd Problem statement, success criteria, IP terms, and milestones for the engagement.
AI Hire Job-fit scoring criteria, screening questions, RTR/compliance rules, and submission template.
02

Source

We bring the right human intelligence to the problem — from solvers or candidates depending on the platform.

Crowd Match exact-fit solvers from a vetted global network across 50+ countries — or deploy a pre-formed freelance team ready to start on day one.
AI Hire Receive applications from LinkedIn, Indeed, your ATS, or self-serve job posts.
03

Evaluate

AI-driven scoring against the defined criteria, validated by SMEs — with audit trail attached.

Crowd Solver submissions scored and ranked, then validated by named SMEs.
AI Hire Candidate fit scoring, screening-answer evaluation, and a ranked shortlist for the recruiter.
04

Deliver

Outputs land where they need to land — with the right accountability for each platform.

Crowd Named US-based project management drives milestone delivery to acceptance criteria.
AI Hire Scored candidates and RTR-ready submissions delivered into your workflow or ATS.

By the numbers

Numbers from each platform, side by side.

100,000+
Vetted solvers worldwide (Crowdsourcing)
50+
Countries of solver reach (Crowdsourcing)
50+
Staffing agencies on AI Hire (AI Hire)
10,000+
Candidates scored (AI Hire)
12+ yrs
Of mission-critical delivery (Both)

Our team

Our core team and the talented people who deliver our work.

Sal Sarosh

Sal Sarosh

President & CEO

Zainab Hussain

Zainab Hussain

Talent Coordinator

Genevieve

Genevieve

Data Scientist

Joanne Shipman

Joanne Shipman

Learning & Development

Alex Hayes

Alex Hayes

Subject Matter Expert

Pramod Tharayil

Pramod Tharayil

Operations

Chukwudi Igbe

Chukwudi Igbe

DevOps Engineer

Kun Zhang

Kun Zhang

Subject Matter Expert

Nitin Agarwal

Nitin Agarwal

Project Manager

Hahn Tran

Hahn Tran

Senior Business Systems Analyst

Mark Hansen

Mark Hansen

Subject Matter Expert

Jarvis Parker

Jarvis Parker

GIS Expert

Harish Joshi

Harish Joshi

Delivery Manager

Aleena

Aleena

Project Coordinator

Thomas Tam

Thomas Tam

Data Scientist

Our history

Twelve years of building an intelligence platform.

2013

CrowdPlat founded as an enterprise crowdsourcing platform.

2017

First NASA crowdsourcing engagement.

2020

Awarded NOIS2 via NASA Tournament Labs.

2024

Awarded NOIS3 — NASA's crowdsourcing vehicle for the next decade.

2025

Launched CrowdPlat AI Hire — AI-powered candidate evaluation.

2026

Two-engine intelligence platform: crowdsourcing + AI-assisted evaluation.

Our location

6701 Koll Center Pkwy, Pleasanton, California 94566

(408) 479-3801    [email protected]

Want to work with us?

Pick the platform that fits — scope a Crowdsourcing engagement, start AI Hire, or join our solver community.

Talk to sales — Crowdsourcing or AI Hire → Start AI Hire free → Find Work →