Zoho Recruit
Zoho Recruit opened the ATS to AI tools via MCP, then spent the summer closing integration gaps.
Comparison · HR
Eightfold AI vs Lattice
A side-by-side editorial comparison of Eightfold AI and Lattice — release velocity, themes, recent moves, and the top alternatives to consider.
Eightfold AI vs Lattice: at a glance
What is Eightfold AI?
Eightfold has moved from screening candidates to running the interview loop itself.
Eightfold's feed is a marketing blog, but the product news inside it is consistent: an agent line — AI Interviewer, Candidate Agent, and now 360 Interview — that conducts conversations rather than scoring recorded ones. The last two weeks add no new capability; they repackage 360 Interview into cycle-time and vertical-specific arguments. Everything else in the window is thought leadership, recruiting collateral, and analyst-recognition posts.
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.
Eightfold AI vs Lattice: editorial side-by-side
Eightfold has moved from screening candidates to running the interview loop itself.
◆ Current state
Eightfold's feed is a marketing blog, but the product news inside it is consistent: an agent line — AI Interviewer, Candidate Agent, and now 360 Interview — that conducts conversations rather than scoring recorded ones. The last two weeks add no new capability; they repackage 360 Interview into cycle-time and vertical-specific arguments. Everything else in the window is thought leadership, recruiting collateral, and analyst-recognition posts.
◆ Where it's heading
The pattern is a launch followed by weeks of positioning around that same release, all aimed at the time-to-hire number talent teams are measured on. Each agent has absorbed one more part of the funnel — the candidate conversation, then the first round, now the panel sequence — leaving scheduling, offer, and onboarding as the remaining human coordination steps. The feed's cadence says little about engineering pace: named releases arrive roughly monthly and the posts between them are sales support.
◆ Prediction
The next named agent likely targets scheduling or offer coordination, the steps 360 Interview's own pitch identifies as where the days actually go. The entries carry no pricing or packaging detail, so how this line is sold below enterprise scale stays unclear.
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 Eightfold AI 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 Eightfold AI or Lattice.
Workable
Workable is localizing hard while its hiring agent quietly gets adjustable.
Wagepoint
Wagepoint put AI at the payroll approval gate, then spent a week arguing about where else it belongs.
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.
Tanda
Tanda starts encoding state statute into the roster itself, not just the pay run.
See all Eightfold AI alternatives → · See all Lattice alternatives →
Recent activity from Eightfold AI and Lattice
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 21h agoEightfold AIFrom requisition to offer in days, not weeks
- 6d agoEightfold AI360 Interview collapses five interview rounds into one conversation ⚡
- 7d agoEightfold AIInnovation works here: how one Eightfold leader turned AI curiosity into a teammate
- 13d agoEightfold AIHiring fast without cutting corners: a playbook for education and public health
- 14d agoEightfold AIOne-way video had its moment — candidates want a conversation
- 19d agoEightfold AIOur interns had questions about AI and careers — here’s what we told them
- 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 Eightfold AI and Lattice?
They serve adjacent needs but don't currently overlap on shipped themes. Eightfold AI 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.
Is Eightfold AI better than Lattice?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Eightfold AI 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.
What are the best alternatives to Eightfold AI?
Top Eightfold AI alternatives in HR are ranked by recent ship velocity. Browse the "Eightfold AI alternatives" section above for the current picks, or visit /alternatives/eightfold 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.