Beamery

What it is

Beamery is a London-headquartered enterprise talent platform that spent the last year repositioning out of the talent-CRM category it defined. The module names an evaluator would remember — Beamery Recruit, Marketing, Mobility, Plan — are gone. What ships now is three layers: a Data Platform (Skills Intelligence, Task Intelligence, Talent Market Insights), a Workforce Intelligence Suite for scenario modelling and redeployment, and a Talent Acquisition Execution Suite that still holds the Talent CRM along with Sourcing & Matching, Talent Marketing, Job Design & Calibration, Talent Analytics, Career Sites & Chatbot, and Events & Campus Recruitment. Ray, an agentic AI consultant announced on 29 July 2025 alongside Task Intelligence, runs across all three. Internal mobility is no longer a separately licensed module; it is a redeployment use case inside Workforce Intelligence. The closest analog is Eightfold AI, which attacks the same enterprise skills problem from the matching-engine side. Beamery arrives from the candidate-relationship side and now claims the workforce-planning ground above both. If you last evaluated it as the enterprise version of Gem, that page has turned.

Why it shows up in recruiting stacks

• Task Intelligence is the layer the rest of the category does not ship. It decomposes roles into tasks, scores each task by frequency and effort, and calculates the time and cost saving from automating it before the automation is built — then maps those tasks back to the skills, roles, and functions that own them. Concretely, it answers “which of these 40 roles is mostly automatable, and what do those people do instead,” which is the question a 2026 workforce plan opens with and the one an ATS or a CRM structurally cannot answer. Beamery states the inference runs against 20B+ talent data points, 600M+ global talent profiles, and 300M+ normalized job descriptions.
• It is certified where employment-AI regulation is actually heading. ISO 42001, the AI management-systems standard, since 18 August 2025, on top of ISO 27001 and SOC 2 — plus a continuously running third-party bias audit by Warden AI whose results are published live at trust.warden-ai.com/beamery/ai-talent-match rather than as an annual PDF. Beamery was the first HR-tech vendor to submit to a third-party AI audit, in 2022. For a talent-matching system that already sits inside NYC Local Law 144 and Illinois HB 3773, and inside EU AI Act Annex III from December 2027, a live public dashboard is the artifact procurement asks for and most of the field cannot produce.
• The HCM write-back is certified, not generic. A Workday certified integration for both CRM and Recruiting, SAP SuccessFactors through the Talent Intelligence Hub, plus Oracle Taleo, ADP, Greenhouse, Jobvite, SmartRecruiters, and LinkedIn CRM Connect since May 2025. In a global enterprise the write-back into the system of record is where these deals stall for two quarters; Beamery ships that path pre-built for the two HCMs that matter most at this size.

Pricing reality

There is no public pricing. beamery.com/pricing returns a 404 and every commercial path routes to a contact form, so pricing_starts_at stays null — this is a quote-only vendor and has never been anything else.

Vendr’s aggregated contract data puts the median Beamery deal at $76,797/year, with a low of $24,717 and a high of $204,153. Read that band as scope rather than as negotiating room: the low end is a single-module Talent CRM deployment, and the high end is the Data Platform plus Workforce Intelligence at global-enterprise headcount. Modules are licensed separately, so what you are quoted is a function of how many of the three layers you take, and the current sales motion pushes toward the Data Platform because that is the layer carrying the repositioning. A CRM-only buyer is the one most exposed to paying platform overhead for a module.

Budget the rollout outside the license. Beamery’s named implementation partners are Accenture, Carahsoft, The Cloud Connectors, and Version 1, which tells you the deployment shape without a quote: partner-led, multi-quarter, and priced separately.

Best for

Global enterprises above roughly 5,000 employees that already run Workday or SAP SuccessFactors as the system of record and have a funded skills-based-transformation programme with an executive owner. The scoped use case where Beamery is the right pick and nothing else is close: you need one platform to answer “what work still exists in 18 months, who inside the company can do it, and what do we hire for the gap” — on one data model, with an auditable AI trail you can hand to a works council or a state regulator.

Do not buy Beamery if you are under ~5,000 employees, if you have no enterprise HRIS for the skills data to hang off, or if your bottleneck is funnel throughput rather than relationship depth and workforce planning — an ATS fixes throughput and this does not. Skip it too when the requirement is raw sourcing volume: hireEZ and SeekOut do that job for a fraction of the contract, and the tell is that both are listed as Beamery integration partners rather than competitors.

Versus the alternatives

Eightfold AI is the head-to-head at this size and the two are now converging on the same story. Eightfold is stronger as a matching engine — deep-learning role-to-person matching applied across hiring, mobility, and contingent talent — while Beamery is stronger on the relationship layer that feeds it and on task-level workforce modelling. The live differentiator is governance posture. Eightfold is defending Kistler et al. v. Eightfold AI, a proposed FCRA class action filed 20 January 2026 alleging that candidate data was assembled into what amounts to a consumer report without consent or a dispute path; as of August 2026 it sits in the pleading stage with no ruling on dismissal or certification. That is an allegation, not a finding — but if your legal team is scoring vendors on employment-AI exposure, Beamery’s ISO 42001 certificate and public audit dashboard are the concrete counterweight. Pick Eightfold when matching accuracy across a very large internal population is the whole job; pick Beamery when candidate relationships, talent marketing, and workforce planning have to live in the same system.

Gloat wins the narrow fight. If the mandate is an internal talent marketplace — employees browsing gigs, stretch assignments, and mentors — Gloat’s Workforce Graph does that better than Beamery’s redeployment use case, and it does not require you to buy an acquisition-side platform to get there. Pick Gloat when internal mobility is the programme; pick Beamery when internal mobility is one output of a plan that also drives external hiring.

Phenom owns the candidate-facing surface — career sites, chatbots, employee portals — and is the better buy when the failing metric is application conversion rather than pipeline intelligence. Gem is the mid-market answer: for CRM and outbound recruiting below ~2,000 employees it delivers most of Beamery’s acquisition-side value at a materially lower contract, and Beamery below that headcount is overbuying by design.

Watch-outs

• Task Intelligence outputs are inferred, not observed. It derives the task map from job descriptions, skills data, and market signal — not from telemetry of what your people actually do. Beamery reports a 90% relevance rating on first review of AI-inferred insights, which is a vendor figure and, taken at face value, still leaves one inference in ten wrong. That is tolerable for a planning conversation and not tolerable for a redeployment decision affecting named employees. Guard: before any headcount action runs off the map, validate a full sample for two or three role families against manager interviews, and require Beamery to show the inference provenance for every task it scores as high-automation.
• No MCP server; the agent surface is Ray or nothing. Beamery exposes a REST API with OAuth 2.0 (Swagger at frontier.beamery.com/swagger-ui/) and ships no Model Context Protocol endpoint, so Ray is the only agentic access to Beamery data unless you build the bridge. If your stack routes talent data to Claude or ChatGPT through MCP the way BambooHR now does, that integration is yours to write and maintain. Guard: pull the Swagger spec during evaluation and confirm the specific objects you need — contacts, skills, task scores — are readable through the public API, because a capability that exists only inside Ray’s UI is not a capability your other agents have.
• Vendor scale is a live procurement question. Beamery raised $223M in total and was valued at $1B at its December 2022 Series D, then cut roughly 12% of staff in January 2023 and a further 25% in November 2023; third-party trackers put current headcount near 200 against roughly 450 at the start of 2023, with no new round announced since 2022. The product is shipping and the enterprise logos are intact, but a multi-quarter, partner-led implementation is a long bet on a company that has been shrinking for three years. Guard: cap the initial term at two years rather than the three-to-five the discount schedule will push, and get a contractual data-export format and escrow clause signed at the same time as the license, not at renewal.
• You are buying into a roadmap that moved. The centre of gravity is now Data Platform and workforce planning; Talent CRM is a component of the Execution Suite rather than the product. A team that buys the CRM alone gets a good CRM attached to a roadmap aimed somewhere else, and the renewal conversation will be about the layers you did not buy. Guard: price the CRM-only scope explicitly against Gem before signing, and if the workforce-planning layers are not in the 24-month plan with a named executive owner, the cheaper tool is the right answer.