Jellie
1 known investors
Jellie builds custom AI systems for recruiting firms, including sourcing agents, matching engines, candidate assessments, and enrichment pipelines, delivered on a fixed-scope, fixed-price basis and owned by the client. It targets recruiting agencies and businesses that want to build systems on their own placement data rather than rent subscription tools.
Founders & leadership
Investors · 1
Company profile
researched Aug 2026Jellie is a build-for-clients AI firm focused on the staffing and recruiting industry. It develops sourcing agents, matching and search engines, candidate assessments, data-enrichment pipelines and complete platforms, either standing up new products or embedding AI into a client's existing ATS, CRM or marketplace. Engagements are structured as projects with a fixed scope and fixed price rather than a subscription, and the resulting product, source code and IP are transferred to the client at handover.
The company's stated service lines include: AI sourcing agents that read a requisition, weigh requirements and likelihood to convert, and contact only shortlisted candidates; matching models trained on a firm's own placement history, client feedback and interview notes so new requisitions are scored against existing contacts; enrichment pipelines that refresh owned profiles and surface job-change signals; and skill assessments that run when a candidate enters the pipeline and produce auditable, reasoned scores. Delivery follows a four-step process — a 30-minute scoping call, a fixed proposal typically within 48 hours, weekly working-software demos from week one, then production deployment, documentation, team onboarding and handover.
Founding story
The founders' prior experience running recruiting AI in production led to the view that suitable candidates usually already exist in a firm's database while the tools to find them are rented and generic, and that a firm's own placement history, notes and outcomes are its real asset — the premise for building client-owned systems on that data.
Business model
Project-based custom software development for recruiting businesses. Work is sold as fixed-scope, fixed-price builds with no seats, subscriptions or renewals; the client owns the delivered product, code and IP after handover, and the company positions itself as an alternative to rented recruiting tools.
Fees for defined build projects at a fixed price agreed in a proposal after a scoping call, rather than recurring per-seat software licensing.
Traction
The website cites 60+ recruiting teams and agencies served and 9+ years building recruiting technology, two prior companies acquired, and two recent client builds described as live in production: a backend rebuild of a custom AI screener and interviewer on AWS, and an AI vetting and matching layer for a curated talent marketplace shipped from zero to MVP in under three months.
Latest developments
Two recent engagements are presented as live in production: migrating a resume-screening platform to AWS with a rebuilt matching and scoring engine, and delivering the full AI evaluation layer and MVP for a curated talent marketplace as an embedded product team.
▸Full profile — market position, technology, go-to-market, geography, history
Market position
Operates as a specialist AI development partner to the recruiting and HR technology sector rather than as a subscription software vendor, marketing to agencies, recruiting-product founders and HR tech companies.
Positions on recruiting-domain depth and client ownership: a founder-level team that has built and sold recruiting-technology companies, in-house engineering and design with no contractors, fixed scope and price with weekly demos, and delivery of code and IP to the client instead of an ongoing subscription. The team cites having previously operated its own sourcing, matching and enrichment platform in production.
Technology
Custom AI systems for recruiting workflows: matching and scoring engines, sourcing agents that evaluate requisitions and candidate conversion likelihood, enrichment pipelines that refresh candidate profiles and detect job changes, and skill assessments scored with auditable reasoning. Work includes cloud re-platforming; one client engagement moved a resume-screening product from a single-prompt setup to a scalable scoring platform on AWS.
Go-to-market
Direct, founder-led sales through a 30-minute scoping call booked from the website, followed by a fixed proposal usually within 48 hours. Credibility signals used in marketing include prior recruiting-tech companies, published case studies and weekly demos during delivery.
Three stated segments: recruiting agencies and staffing firms with existing data and workflows under margin pressure; founders building recruiting products who need to go from zero to MVP; and HR technology companies adding AI to an existing product. Case-study clients are in the United States.
Geography
Client case studies published by the company are located in the United States.
History
The founding team states it has built recruiting technology since college over roughly nine years and across three companies: a hiring marketplace and a screening platform, both of which were acquired, followed by its own AI platform running sourcing, matching and enrichment for 60+ recruiting agencies. Jellie is described as the team's third recruiting-technology company and now delivers custom AI builds for recruiting businesses.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Timeline · 2
launches, deals, and filingsBuilt the full AI evaluation layer — vetting, skill evaluation and client-to-talent matching — for a curated talent marketplace and shipped the MVP in under three months as an embedded product team. Described as live in production; client located in the United States.
Migrated a client's resume screening platform to AWS and rebuilt matching with a scalable scoring engine, replacing a single-prompt setup. Described as live in production; client located in the United States.
Dated company events from announcements, filings, and press; legal rows summarize public dockets and regulator releases.
▸Research sources · 8
primary sources listed
- Jelliejellie.ai · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Jellie do?
- Jellie builds custom AI sourcing, matching and assessment systems that recruiting firms own outright.
- Who founded Jellie?
- Jellie was founded by Alexander Davtyan.
- Who are Jellie's investors?
- Jellie's investors include Colopl Next.