Alpha — Pilot Programme Open
Private AI · People Operations · Governance

Responsible AI for
People Operations
Teams.

Logmark is in active development and inviting organisations to pilot and co-evolve the platform with us. Join a small group of People Operations teams helping shape responsible AI for talent workflows.

Apply to pilot Explore the platform
Module 01
SLM Creation
Build a custom small language model around your organisation's sensitive People Operations data — no technical team required. Stays entirely on your infrastructure.
Module 02
Governance
Quantify model performance across bias, toxicity, auditability, and statistical fairness. Give decision-makers the evidence they need before deployment.
Module 01 — SLM Creation

Your data. Your model.
Your infrastructure.

Non-technical People Operations stakeholders can create and deploy a bespoke Small Language Model trained on their organisation's sensitive data — without writing a single line of code, and without data ever leaving their systems.

● Built for non-technical People Operations stakeholders
01
Connect your on-prem data sources
Point Logmark at your HRIS, ATS, policy documents, and knowledge repositories. All data processing happens within your network boundary — nothing moves to the cloud.
02
Define your assistant's scope
Use guided templates to describe what the assistant should know, how it should respond, and what it should never do. No prompt engineering experience needed.
03
Set access and permissions
Assign the assistant to specific teams, roles, or departments. Control who can query it and what data each audience can surface.
04
Deploy and monitor
Publish to your team in minutes. The Governance module begins measuring performance immediately, giving you a live view of model health from day one.
What your team can build
  • A compensation assistant that answers pay-band and benchmark queries without exposing individual salaries
  • A policy advisor trained on your employee handbook, contracts, and legal guidelines
  • A talent-matching tool that screens candidates against role criteria using your internal competency frameworks
  • An onboarding guide personalised to department, role level, and location
  • A benefits and leave assistant that surfaces the right entitlements for each employee profile
  • A People Operations helpdesk that handles routine queries and escalates edge cases to the right team
"The power of a custom language model, without the dependency on a data science team."
Module 02 — Governance

Quantify performance.
Deploy with confidence.

Before any AI model influences a hiring decision, a performance review, or a compensation recommendation — leaders need evidence. Logmark's Governance module measures the parameters that matter in talent workflows.

● Built for decision-makers evaluating AI in talent workflows
Bias Detection
Identifies differential treatment across protected characteristics — gender, age, ethnicity, disability — in model responses and ranking outputs.
Toxicity Scoring
Measures the presence of harmful, demeaning, or unprofessional language in model outputs across a library of adversarial prompts.
Auditability
Every decision, ranking, and recommendation is traceable to its source data. SHA-256 signed reports create an immutable chain of evidence.
Statistical Fairness
Applies demographic parity, equalised odds, and calibration tests to model outputs — surfacing disparate impact before it reaches production.
Accuracy & Faithfulness
Measures how closely responses reflect approved knowledge-base content, reducing hallucination risk in high-stakes People Operations contexts.
Completeness
Ensures the model answers the full scope of a query — not just the easiest part. Critical for policy and compliance use cases.
What leaders get
  • A plain-English governance report that non-technical leaders can read and act on without a data scientist in the room
  • RAG-status dashboards (Ready / Review / Remediate) that make deployment decisions straightforward
  • Signed, immutable audit files for legal, compliance, and board-level reporting
  • Recommendations mapped to specific governance gaps — not just scores, but next steps
  • Continuous monitoring after deployment, not just a one-time pre-launch check
Sample governance scorecard
Bias — gender (hiring model) Low Pass
Toxicity (adversarial suite) 2.1% Pass
Demographic parity delta 0.09 Review
Auditability index 97% Pass
Equalised odds gap 0.12 Review
Hallucination rate 4% Pass
Why Logmark

AI that your legal, People Operations, and
board teams can all stand behind.

01
Stays on your infrastructure
No sensitive employee or candidate data is sent to a third-party cloud. Every model runs on your own systems, under your own data governance policies.
02
Built for non-technical teams
People Operations leaders, talent managers, and People Operations teams can build and govern AI without filing an IT ticket. The platform abstracts away every technical dependency.
03
Governance is not optional
Every model deployed through Logmark is continuously evaluated. Bias, fairness, and auditability scores are always live — not a checkbox before launch.
04
Regulation-ready by design
Signed audit trails, demographic parity reporting, and model explainability outputs are built in — supporting EU AI Act, EEOC, and internal compliance requirements.
05
Bespoke, not generic
Logmark does not offer a general-purpose chatbot. It builds assistants that know your org's specific policies, structures, roles, and data — nothing more, nothing less.
06
Evidence for every decision
When a leader asks "can we trust this?", Logmark gives them a report they can read, share, and file. AI decisions backed by quantified, explainable evidence.
Use Cases

Where teams are deploying Logmark

Purpose-built for the workflows where AI in People Operations carries the highest stakes — and the greatest opportunity.

Talent Acquisition
Bias-audited candidate screening
Screen CVs and applications against role criteria using a model validated for demographic parity. Surface ranked shortlists with a full fairness scorecard attached.
People Operations
Self-service People Operations assistant
Answer employee questions on leave, benefits, pay, and policy using a model trained exclusively on your approved documents — never an external knowledge source.
Compensation
Pay equity analysis
Query compensation data, benchmark against bands, and surface pay gaps by role and demographic — with every query logged and auditable.
Performance Management
Objective review calibration
Assist managers in writing performance reviews that are consistent, evidence-based, and free from language that correlates with protected characteristics.
Learning & Development
Personalised development pathways
Build an assistant that maps employee skills, career goals, and internal opportunity — surfacing relevant L&D resources and internal mobility options.
Compliance & Legal
AI deployment evidence pack
Generate a board-ready governance report before any AI model influences a formal People Operations decision — bias scores, fairness metrics, and audit trail included.
Alpha — Pilot Programme

Co-evolve Logmark
with us.

We're at an early, honest stage. The product works — and it's still being shaped. We're looking for a small number of organisations to pilot both modules, give us direct feedback, and help define what responsible AI for People Operations should actually look like.

Tell us about your organisation and what you're trying to solve. We review every application personally and respond within five working days.

By submitting you agree to our privacy policy. We will not share your details with third parties. Logmark is built on the principles of safe and responsible AI. Pilot places are limited — we'll confirm within 5 working days.

What pilot partners receive
Full access. Direct line to
the product team.
  • Complimentary access to both modules for the duration of the pilot
  • A dedicated onboarding session with the Logmark team — no sales handoff
  • Direct input into the product roadmap through structured monthly feedback sessions
  • Early access to every new feature as it ships during the pilot period
  • A co-authored case study (optional) documenting your governance approach
  • Preferred commercial terms when the product moves to general availability

"We're not looking for beta testers. We're looking for organisations who have a genuine problem to solve and want to help us build the right tool to solve it."

01
We'll be honest about what's not built yet
Pilot partners see the roadmap and know exactly what's coming. No overselling of capabilities that don't exist.
02
Your feedback shapes the product
Pilot partners aren't consulted after decisions are made. They're in the room when decisions are being made.
03
Small cohort, high attention
We're onboarding a limited number of organisations. Every pilot partner gets direct access to the team, not a support ticket queue.
Questions?

Not ready to apply yet?
Let's talk first.

We're happy to have an informal conversation about whether Logmark is the right fit — no commitment required.

Email us directly Back to pilot application

On-prem deployment · Safe & Responsible AI · No data leaves your network

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