Introducing venpor & Venny
Venny · Knowledge base
Three systems. One AI companion.
Venny isn't a single model. It's a set of interconnected systems, each with a specific role, that together enable it to monitor, reason, and act across your contingent workforce programme.
Layer 01
Adaptive Integration Layer
Connects Venny to your existing stack and normalises data across systems in real time.
Layer 02
Venny Eval Engine
Systematically tests Venny across realistic scenarios, models, and configurations, before and in production.
Layer 03
Venny Memory
Maintains a persistent record of workers, suppliers, and programme baseline across every engagement.
Adaptive Integration Layer
Venny reads from your stack. Not the other way around.
The Adaptive Integration Layer connects Venny to your existing systems — ATS, HRIS, ERP, payroll, supplier portals — and normalises data across them. Rather than requiring your systems to conform to a rigid schema, Venny adapts to the data shapes it encounters.
The result: real-time programme visibility without a data migration project. No rip-and-replace. Venny connects, reads state, and begins operating.
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Bidirectional by design. The integration layer doesn't only read. When Venny takes an action, it writes back to the relevant system automatically.
ATS
40+ platforms
Jobylon, SmartRecruiters, Recruitee, Greenhouse
HRIS
Core HR systems
Workday, HiBob, Personio, BambooHR
ERP
Finance and operations
SAP, Oracle, Microsoft Dynamics
Payroll
Payment systems
180+ countries, consolidated invoicing
Suppliers
Supplier portals
Staffing agencies, freelance marketplaces, direct networks
Compliance
Regulatory data
Classification frameworks, work authorisation, insurance
Eval Engine
Venny is tested before it touches your programme.
AI behaviour changes. Models get updated. Edge cases surface in production. The Venny Eval Engine is a systematic solution for testing Venny across realistic agent scenarios, scoring results against defined outcomes, and surfacing regressions, before deployment and when live.
A worker chasing a missing timesheet, a supplier asking about a rate change, a hiring manager requesting a shortlist, a work authorisation expiring. Every one of those interactions needs to be handled correctly, consistently, and within policy. The Eval Engine validates exactly that.
30+
Pre-designed scenarios
3
Judge types per scenario
∞
Custom scenarios per programme
Sample scenarios
3 judges each
Create job requisition from conversation
hiring
Contract renewal risk detection
contracts
Engagement cliff detection
intelligence
Search talent pool for position fit
hiring
Invoice crunch detection
finance
Venny Memory
Venny doesn't start from scratch.
Venny maintains a persistent record of your programme across three layers. This is what makes its assessments accurate and its sourcing intelligence meaningful: Venny knows what your programme looks like, who has worked well before, and which suppliers have delivered.
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Worker profiles
Skills, compliance status, and past performance retained across engagements. When a new position opens, Venny's talent pool search draws on this history. No re-running searches, no starting from scratch.
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Supplier history
Fill rates, time-to-submit, rate compliance, and submission quality tracked per supplier across every requisition. Smart routing decisions are grounded in this accumulated record, not generic rules.
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Programme baseline
What normal looks like for your specific programme. Spend patterns, approval rhythms, typical onboarding timelines. Anomaly detection is calibrated to your context, not a generic threshold.
Why memory matters
A generic AI tool treats every session as fresh. It has no knowledge of who worked on your last project, whether a supplier consistently delivers late, or what a normal spend burn rate looks like for your team.
Venny Memory is what separates programme intelligence from a search bar. The longer Venny runs, the more accurate its assessments become, because they're grounded in the specific history of your operation.
Memory in action
Sophie van den Berg — last engaged Q2. Skills: Ops, Project Management. Compliance current. Performance: exceeds. Available from 15 Aug.
Harlow Staffing Partners — 7 of 9 Engineering roles filled in avg 3.8 days. Rate compliance: 100%. Recommended for next Engineering req.
Programme baseline — typical onboarding: 4.2 days. Spend burn avg at T+60: 52%. Current SOW-0041 at 73%. Venny flagged as anomaly.
See VENPOR in Action
How AI is transforming contingent workforce management
Compare
Fragmentation doesn't scale. Orchestration does.
Manual Process
Copy/pasting metrics into reports
Chasing team members for updates
Manually tagging leads in CRM
Checking 4 tools every morning
Missed follow-ups or overdue tasks
With venpor
Agent compiles & sends daily updates to Slack
Agent collects and summarizes inputs
AI auto-tags based on behavior or inputs
Unified daily brief across all platforms
Agent sets and tracks follow-up actions
FAQ