Watch how our background pipeline securely coordinates Slack requests, internal handbook database indexes, compliance audits, and third-party integrations autonomously.
The AI continuously monitors connected workspace endpoints (Slack chat rooms, email streams, employee portals) for queries or structural triggers.
Secured vector algorithms immediately query the team's stored files, contracts, PDF policy handbooks, and historical records utilizing semantic retrieval.
The computed solution is audited against localized legal parameters (e.g. France SYNTEC CBA, UK statutory rates) before any final output gets deployed.
The validated solution is executed: offer drafts are auto-compiled, PTO codes are logged, Slack replies are generated, or payroll entries are prepared.
Select and operate any of the interactive dashboard models below to experience the depth of equipeHR's native intelligence.
Protect your team before high flight-risk periods occur. Our system aggregates sprint frequency, vacation usage, local industry compensation indices, and sentiment patterns to alert management of high-risk sectors proactively.
Design complex triggers without typing a line of code. Connect employee lifecycle events directly to background processes. Wire signed contractor agreements straight to MacBook hardware shipping pipelines and regional payroll allocations instantly.
Query your human capital assets using natural language. No complicated SQL databases or segmented dashboards. Ask plain English questions and fetch instant, legally audited answers regarding payroll, skills, and tenure.
Type a question or select a preset query on the left to see instant search processing.
How equipeHR's specialized, fine-tuned human capital neural model compares against raw foundation LLMs in operational compliance.
| Model Architecture | EOR Compliance Accuracy | Average Retrieval Latency | Hallucination Threshold |
|---|---|---|---|
eH equipeHR Custom Fine-Tune v2 Active production model | 99.85% | 420 ms | < 0.01% |
C3 Claude 3.5 Sonnet General purpose LLM API | 92.40% | 1.82 s | 1.25% |
G4 GPT-4o General purpose LLM API | 89.60% | 1.45 s | 2.10% |