Ever Gauzy
Ever Gauzy adds full payroll and leave management modules, integrates Ever Async workspaces — expanding from project tool to HR suite
A side-by-side editorial comparison of Lattice and Ashby — release velocity, themes, recent moves, and the top alternatives to consider.
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 adds native WhatsApp messaging as its recruiting communication stack goes omnichannel.
Ashby is a modern ATS consolidating scheduling intelligence and AI-assisted interviewing into a single platform. The WhatsApp integration is its most directional recent move: candidates in most of the world prefer WhatsApp to email, and building it natively—with templates, automated reminders, and full conversation history—closes a real gap. The platform is also adding enterprise governance scaffolding: document libraries, retention controls for AI Notetaker, and reapproval workflows signal a push into compliance-sensitive accounts.
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.
Ashby is a modern ATS consolidating scheduling intelligence and AI-assisted interviewing into a single platform. The WhatsApp integration is its most directional recent move: candidates in most of the world prefer WhatsApp to email, and building it natively—with templates, automated reminders, and full conversation history—closes a real gap. The platform is also adding enterprise governance scaffolding: document libraries, retention controls for AI Notetaker, and reapproval workflows signal a push into compliance-sensitive accounts.
Two tracks are compounding: AI-enhanced interviewing (AI Notetaker getting sharing, retention rules, and likely more structured outputs) and operationally tight scheduling (panel room booking, unavailability UI). WhatsApp opens a third track—omnichannel candidate communication—that could extend to scheduling confirmations and automated outreach. The governance additions suggest Ashby is targeting larger enterprise deals that require auditability before committing to an ATS.
Ashby will extend WhatsApp to automated scheduling confirmations and two-way template flows. Expect AI Notetaker to move from recording/sharing toward structured post-interview outputs—scoring, follow-up drafts, or scorecard pre-fills derived from transcript content.
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 Lattice or Ashby.
Ever Gauzy adds full payroll and leave management modules, integrates Ever Async workspaces — expanding from project tool to HR suite
Employment Hero is flooding the AI-in-HR content channel while its AI Recruitment Agent quietly goes live.
HavaHR ships a one-step MCP install, putting Malaysia payroll data inside any AI agent.
TriNet is automating HR data flows with steady integration additions — Salesforce, Voya, and Slack — reducing manual updates for SMB customers.
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
Teamtailor's Co-pilot is quietly automating the full recruiting pipeline, one trigger at a time.
See all Lattice alternatives → · See all Ashby 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 1 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 1 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 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.
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.