Workable
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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 | 8.8 |
| Sparks · 30d | 0 | 1 |
| Top themes | ai-agent, mcp, performance-reviews, compensation | workforce management, australian payroll, rostering compliance, child employment law |
| Last editorial update | 9d ago | 2d 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 starts encoding state statute into the roster itself, not just the pay run.
Tanda ships several short, specific notes a week across Australian rostering, payroll and HR. The current window adds automated child employment law validation in rosters, a rebuilt child support deduction flow that moves reference numbers from employee profiles to the company file, a per-question training response report, and a toggle to hide the graph and table in Roster Day View. Two of the four are regulatory mechanics; the compliance work is where the substance sits.
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
8.8HR
Tanda starts encoding state statute into the roster itself, not just the pay run.
◆ Current state
Tanda ships several short, specific notes a week across Australian rostering, payroll and HR. The current window adds automated child employment law validation in rosters, a rebuilt child support deduction flow that moves reference numbers from employee profiles to the company file, a per-question training response report, and a toggle to hide the graph and table in Roster Day View. Two of the four are regulatory mechanics; the compliance work is where the substance sits.
◆ Where it's heading
The direction is compliance moving upstream — out of payroll reconciliation and into the moment a manager builds a roster. Child employment rules are not calculated after the fact but checked at publish time, with a new School Details record on under-18 profiles supplying the inputs and a configurable warn-or-block setting deciding how hard the rule bites. The child support change follows the same logic from the other end: strip per-employee configuration that was error-prone and move the single source of truth to the company file.
◆ Prediction
Expect the same treatment applied to further award and state-level rules — statutory constraints turned into roster validations with a warn/block switch — and continued consolidation of settings that currently live on individual employee profiles.
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.
Wagepoint
Wagepoint put AI at the payroll approval gate, then spent a week arguing about where else it belongs.
Eightfold AI
Eightfold has moved from screening candidates to running the interview loop itself.
Ever Gauzy
Gauzy's React rewrite becomes a tenant-level switch, and its AI chat learns to listen
Miter
Miter added accounts payable and opened a free API — it's no longer just construction payroll.
Crelate
Crelate's public feed is a recruiting podcast plus search-craft essays; the changelog lives elsewhere.
See all Lattice alternatives → · See all Tanda alternatives →
Recent activity from Lattice and Tanda
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 2d agoTandaNew: Training Response Report (HR)
- 2d agoTandaAustralian Child Employment Rules in Rosters ⚡
- 2d agoTandaHide Graph & Table in Roster Day View
- 2d agoTandaChanges to Child Support Deductions (AU Payroll)
- 6d agoTandaSuper Stapling Reminder During Onboarding
- 8d agoTandaWritten Signatures for Documents
- 2mo agoLatticeAI Agent in 1:1s ⚡
- 2mo agoLatticeRevamped Homepage
- 2mo agoLatticeAnalytics Charts in Lattice Agent
- 2mo agoLatticeVoice Modality
- 2mo agoLatticeAuto-Create Calibration Groups
- 2mo 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 8.8 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.
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 8.8 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.
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.