Train AI
Teach systems what good looks like.
- Run agents through realistic voices, scenarios, and objections.
- Evaluate the interaction instead of guessing from a single response.
- Repeat the hard cases until the system is ready for the work.
AI Training · ShiftMate Labs
AI training infrastructure for real work.
We build the simulations, evaluation loops, and workforce training systems that help AI and people get better at the work they share.
One connected system
Two training loops. One standard: better real-world performance.
AI gets better through scenarios and evaluation. People get better through practice and feedback. The infrastructure connects both loops to the work they are meant to improve.
Train people
Give people a safe place to practise.
- Practise the conversation before the first customer interaction.
- Coach against real scripts, accents, personas, and objections.
- Build evidence of readiness that can lead to a real opportunity.
The infrastructure
From a realistic scenario to a better shift.
Each layer makes the next one more useful. The point is not to produce another score; it is to create a better next action.
01 · Simulate
Create the situations that matter.
Build realistic conversations, scenarios, voices, and objections before they reach a customer or a live shift.
02 · Evaluate
Make good performance visible.
Use structured assessment and voice evaluation to see what happened, what worked, and where the interaction broke down.
03 · Coach
Turn feedback into practice.
Give AI agents and people the right repetition, feedback, and next scenario to improve the part that needs work.
04 · Connect
Take the learning into real work.
Connect training signals to the people, roles, shifts, and operating systems that turn readiness into performance.
AI systems
The tools that train and test AI.
The AI side of the infrastructure turns realistic work into repeatable scenarios, feedback, and improvement.
Synthetic Voice Lab
Run AI agents against AI personas and explore real objection paths before a human touches the interaction.
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AI Interviews
Voice screening that conducts, scores, and archives interviews at scale.
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Agentic AI Agents
Autonomous agents that use tools, act on context, and power the work around the training loop.
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Gen 3 AI Platform
The reasoning layer underneath ShiftMate products: agents that remember, use tools, and act.
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Workforce
The tools that prepare people.
The human side gives people a fair chance to practise, show what they can do, and move into real work.
Training Simulator
Voice coaching on real campaign scripts, accents, and personas before agents touch a live customer.
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AI Assessment
Structured assessment that helps employers understand ability, communication, and readiness.
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Ready Interview Practice
A place for people to practise interviews with AI before they apply.
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Connected platform
Training only matters when it reaches the work.
The training layer connects to the wider employment system: finding people, placing them into opportunities, and running the operation.
Matching Engine
Match people to roles and shifts using the signals that matter to the work.
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ShiftMate Marketplace
Move from a verified, prepared candidate to a real shift.
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HR Platform
Keep hiring, scheduling, leave, compliance, and performance in one place.
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Content Engine
Build the content and candidate demand that keeps the system supplied.
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Build the training layer
Better AI starts with better practice.
Talk to us about the training infrastructure your agents, teams, and customers need.