Ever Gauzy
Ever Gauzy adds full payroll and leave management modules, integrates Ever Async workspaces — expanding from project tool to HR suite
Comparison · HR
Lattice vs Tanda
A side-by-side editorial comparison of Lattice and Tanda — release velocity, themes, recent moves, and the top alternatives to consider.
Lattice vs Tanda: at a glance
| Feature | Lattice | Tanda |
|---|---|---|
| Sector | HR | HR |
| Velocity score | 0.0 | 7.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | ai-agent, mcp, performance-reviews, compensation | workforce-management, payroll, australian-compliance, hiring |
| Last editorial update | 1mo ago | 22h ago |
| Website | Visit → | — |
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.
What is Tanda?
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
Tanda is an Australian-market workforce management platform covering scheduling, timesheets, payroll, and recruiting (Tanda Hire). The product ships at high cadence with a strong compliance focus — AU award management, contractor tax details, Fair Work Commission alignment — alongside UX polish for payroll teams and line managers. Recent releases cluster around payroll data accuracy, reporting flexibility, and white-labeling for B2B use cases.
Lattice vs Tanda: editorial side-by-side
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.
Tanda
7.5HR
Tanda ships a dense cluster of payroll accuracy and reporting improvements aimed at Australian compliance depth.
◆ Current state
Tanda is an Australian-market workforce management platform covering scheduling, timesheets, payroll, and recruiting (Tanda Hire). The product ships at high cadence with a strong compliance focus — AU award management, contractor tax details, Fair Work Commission alignment — alongside UX polish for payroll teams and line managers. Recent releases cluster around payroll data accuracy, reporting flexibility, and white-labeling for B2B use cases.
◆ Where it's heading
Tanda is filling out its existing surface rather than making directional moves. The Hire module is expanding (talent pools, multi-SEEK integrations) in parallel with core payroll depth, suggesting a push toward a complete HR stack for Australian SMBs rather than a best-of-breed point solution. No AI or agentic features are visible in recent releases; the investment is in compliance breadth and data accuracy at the edges of the payroll process.
◆ Prediction
The most likely next move is continued Australian award compliance automation — more managed templates tracking the Fair Work Commission's multi-year phase-in decisions — and further Hire module buildout to reduce recruiter reliance on a separate ATS.
Alternatives to Lattice and Tanda
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 Tanda.
Employment Hero
Employment Hero is flooding the AI-in-HR content channel while its AI Recruitment Agent quietly goes live.
HavaHR
HavaHR ships a one-step MCP install, putting Malaysia payroll data inside any AI agent.
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.
Teamtailor
Teamtailor's Co-pilot is quietly automating the full recruiting pipeline, one trigger at a time.
See all Lattice alternatives → · See all Tanda alternatives →
Recent activity from Lattice and Tanda
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoTandaContractor tax columns, onboarding data, and new shift report filters
- 1d agoTandaTimesheet Export Warnings in Pay Runs
- 1d agoTandaCustom Email Branding
- 1d agoTandaPay Check Warnings on Onboarding Completion Emails
- 1d agoTandaPay Run Notes
- 1d agoTandaPayroll Tax Report: Compare to Previous Period
- 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 Lattice and Tanda?
They serve adjacent needs but don't currently overlap on shipped themes. Tanda is currently shipping more aggressively (velocity 7.5 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 Lattice better than Tanda?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Tanda is currently shipping more aggressively (velocity 7.5 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 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.
What are the best alternatives to Tanda?
Top Tanda alternatives in HR are ranked by recent ship velocity. Browse the "Tanda alternatives" section above for the current picks, or visit /alternatives/tanda for the full list with editorial commentary on each.