Meet our Team

teora is built by workforce strategists, recruitment leaders, and technologists who understand the commercial realities behind hiring decisions. We combine deep industry insight with AI-driven intelligence to help organisations make smarter, faster talent decisions.

Dan Potts

CEO

Dan Potts is the Founder and CEO of teora. With over 15 years’ experience designing talent and workforce strategies across multiple sectors. His background in recruitment, coaching, and workforce planning shaped teora’s internal-first, skills-based approach — helping organisations reduce hiring costs, improve retention, and build future-ready teams.

Bryan Lane

CTO

Bryan Lane leads technology at teora, overseeing platform architecture, AI governance, and enterprise infrastructure. With over 20 years as a Technical Specialist leading Global Projects on the curtting edge of technology and Innovation for both Public and Private Organisations. He ensures teora operates securely and at scale, with regionalised AI processing, structured observability, and seamless integration into existing HR systems.

Fahima Gamudi

Head of Marketing

Fathima Gamudi leads Marketing at teora, positioning the brand at the intersection of workforce strategy and AI. She translates complex workforce challenges into clear, executive-level narratives that resonate across hospitality, construction, and manufacturing sectors.

A secure AI workforce intelligence platform built to fix the two biggest failures in recruitment: poor internal visibility and slow external hiring.

teora applies AI where it matters most: visibility and velocity.

First, it analyses workforce capability using structured assessments and performance signals to identify high-potential employees, succession gaps, and retention risks.

Then, it streamlines external recruitment by automating CV benchmarking, structured interviews, and shortlisting — ensuring hiring managers only meet qualified, role-aligned candidates.

The result is measurable: faster time-to-shortlist, fewer unnecessary external hires, and stronger long-term workforce stability.

Security at the Core. Clarity by Design.

Localised AI Inference

teora ensures LLM inference is geographically aligned to client jurisdiction.

• EU client data is processed within EU-based infrastructure.
• Americas-based clients follow region-specific data sovereignty frameworks.
• No cross-border inference without compliance safeguards.

AI Security & Infrastructure Resilience

Security is foundational — not retrofitted.

• Secure cloud-native architecture
• Encrypted data in transit and at rest
• Role-based access control
• Segmented data environments
• Regionalised AI inference
• Continuous infrastructure monitoring

Our AI operates within secure, jurisdiction-aligned environments designed for enterprise deployment.

AI Observability & Management

AI within teora is governed, observable, and controllable.

• Full logging of model inputs and outputs
• Continuous response evaluation for accuracy and consistency
• Prompt versioning and change tracking
• Structured performance monitoring
• Controlled deployment environments

This ensures AI is not a black box.
It operates within defined, monitored, and accountable boundaries.