HavaHR
HavaHR ships a one-step MCP install, putting Malaysia payroll data inside any AI agent.
Comparison · HR
Ever Gauzy vs Lattice
A side-by-side editorial comparison of Ever Gauzy and Lattice — release velocity, themes, recent moves, and the top alternatives to consider.
Ever Gauzy vs Lattice: at a glance
What is Ever Gauzy?
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
Ever Gauzy is running a high-frequency patch cycle—multiple releases per day—addressing UI polish, bug fixes, and minor UX improvements. The v111.42.0 registration improvement (prefilling names from Stripe to avoid clobbering collected data) is the week's only user-visible feature in the top releases. Beneath the patch cadence, v111.41.7 and v111.41.6 shipped a full Payroll module and a Leave Management module respectively, which are the real markers of what this cycle is actually building.
What is Lattice?
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.
Ever Gauzy vs Lattice: editorial side-by-side
Ever Gauzy patches registration UX and table polish while a full payroll module lands beneath the release noise.
◆ Current state
Ever Gauzy is running a high-frequency patch cycle—multiple releases per day—addressing UI polish, bug fixes, and minor UX improvements. The v111.42.0 registration improvement (prefilling names from Stripe to avoid clobbering collected data) is the week's only user-visible feature in the top releases. Beneath the patch cadence, v111.41.7 and v111.41.6 shipped a full Payroll module and a Leave Management module respectively, which are the real markers of what this cycle is actually building.
◆ Where it's heading
Ever Gauzy is building out a complete open-source HRM suite, layering payroll and leave management onto its existing time tracking and project management core. The module-level additions (PayrollRun, PayrollItem, Time Off Policies, Official Holidays, Balance Tracking) suggest a deliberate effort to reach feature parity with enterprise HRM systems like BambooHR or Gusto at the open-source tier.
◆ Prediction
Ever Gauzy will continue module-level feature additions at the same pace—expenses, benefits, and performance appraisals are the natural next targets given the current HRM build-out trajectory.
Lattice
0.0HR
Lattice built an AI agent worth visiting, then handed its data to everyone else's.
◆ Current state
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.
◆ Where it's heading
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.
◆ Prediction
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.
Alternatives to Ever Gauzy and Lattice
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 Ever Gauzy or Lattice.
TriNet
TriNet is automating HR data flows with steady integration additions — Salesforce, Voya, and Slack — reducing manual updates for SMB customers.
Ashby
Ashby adds native WhatsApp messaging as its recruiting communication stack goes omnichannel.
Tanda
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
Teamtailor
Teamtailor's Co-pilot is quietly automating the full recruiting pipeline, one trigger at a time.
Lever
Lever leans into AI recruiting features while its changelog reads more like a blog feed than a release log.
See all Ever Gauzy alternatives → · See all Lattice alternatives →
Recent activity from Ever Gauzy and Lattice
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21h agoEver Gauzyv111.42.1
- 21h agoEver Gauzyv111.42.0
- 23h agoEver Gauzyv111.41.13
- 1d agoEver Gauzyv111.41.12
- 1d agoEver Gauzyv111.41.11
- 2d agoEver Gauzyv111.41.10
- 3mo agoLatticeAI Agent in 1:1s ⚡
- 3mo agoLatticeRevamped Homepage
- 3mo agoLatticeAnalytics Charts in Lattice Agent
- 3mo agoLatticeVoice Modality
- 3mo agoLatticeAuto-Create Calibration Groups
- 3mo agoLatticeCalibration Group Conflict Avoidance
Frequently asked questions
What is the difference between Ever Gauzy and Lattice?
They serve adjacent needs but don't currently overlap on shipped themes. Ever Gauzy is currently shipping more aggressively (velocity 10.0 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.
Is Ever Gauzy better than Lattice?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Ever Gauzy is currently shipping more aggressively (velocity 10.0 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.
What are the best alternatives to Ever Gauzy?
Top Ever Gauzy alternatives in HR are ranked by recent ship velocity. Browse the "Ever Gauzy alternatives" section above for the current picks, or visit /alternatives/ever-gauzy for the full list with editorial commentary on each.
What are the best alternatives to Lattice?
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.