Ever Gauzy
Ever Gauzy adds drag-and-drop to its project board a day after the new project view page.
A side-by-side editorial comparison of Ashby and Lattice — release velocity, themes, recent moves, and the top alternatives to consider.
Ashby lets admins set AI Notetaker auto-fill org-wide, a day after shipping Audit Logs.
Ashby's recent releases are admin-facing controls: configurable approval context, Offer Packet Templates, fiscal-year settings, CSV dashboard exports and Audit Logs with API-exportable events. The latest lets admins set AI Notetaker auto-fill and personal instructions across the organization instead of per user.
Lattice built an AI agent worth visiting, then handed its data to everyone else's.
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
Ashby's recent releases are admin-facing controls: configurable approval context, Offer Packet Templates, fiscal-year settings, CSV dashboard exports and Audit Logs with API-exportable events. The latest lets admins set AI Notetaker auto-fill and personal instructions across the organization instead of per user.
Ashby is making the hiring workflow configurable and then governable. The notetaker change applies that same governance to its AI features: what the AI writes into records becomes an admin decision, which matters to compliance-bound customers alongside the new audit trail.
Expect more org-level policy controls over AI features and further export plumbing. The entries don't show a new AI capability coming, only tighter control of the existing one.
Lattice runs AI Agent as its own changelog category alongside Performance, Compensation, and Analytics, and the June work built it into something worth opening: the Agent attends 1:1s and captures summaries, action items, and coaching insights, answers data questions with charts rather than prose, and takes voice input. July then pointed the same capability outward. An MCP server exposes Lattice to Claude, OpenAI, and Slack, and AI review drafts are assembled from a person's own 1:1s, feedback, goals, and updates with cited sources. Underneath both, the performance and compensation machinery keeps absorbing manual setup — calibration groups generated from the org chart, approved promotions carried from a review cycle into a comp cycle.
The interesting move is that Lattice stopped assuming it wins by being the app you open. June made the Agent a destination; July made Lattice reachable from Claude, ChatGPT, and Slack instead, which is a bet that being the HR data layer beats owning the chat surface. Review drafts show what that data layer is being accumulated for: the meeting capture, feedback, and goals the Agent has been collecting are now the raw material for the review itself, with citations as the trust mechanism. Compensation is on a slower and more procedural track, closing loops — sending recommendations back for revision, exporting with HRIS IDs attached — rather than adding AI.
Expect the review-drafting work and the MCP surface to converge, so a manager can draft an evidence-cited review from Claude or Slack without opening Lattice. Whether compensation gets the same treatment is genuinely unclear from these entries — that area is still being hardened procedurally, and approval chains carry consequences that make an AI draft a harder sell.
Other HR products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Ashby or Lattice.
Ever Gauzy adds drag-and-drop to its project board a day after the new project view page.
Employment Hero's 2026 recap names a Payroll Agent next to its Recruitment Agent.
Tanda reworks break rules, adds SMS stage alerts in Hire and extends fallback leave to NZ.
Teamtailor adds multi-value and country filters to requisitions after a week of division settings.
Illumeo's free CPA course bundle is a lead magnet, not a shipping product.
Frappe HR is making HR-only deployments a first-class setup, not an ERPNext add-on
See all Ashby alternatives → · See all Lattice alternatives →
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
They serve adjacent needs but don't currently overlap on shipped themes. Ashby is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ashby is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other HR products to evaluate alongside.
Top Ashby alternatives in HR are ranked by recent ship velocity. Browse the "Ashby alternatives" section above for the current picks, or visit /alternatives/ashby for the full list with editorial commentary on each.
Top Lattice alternatives in HR are ranked by recent ship velocity. Browse the "Lattice alternatives" section above for the current picks, or visit /alternatives/lattice for the full list with editorial commentary on each.