Calibr designs bespoke AI transformation teams that help businesses adopt artificial intelligence sustainably. The company embeds engineers, architects, and analysts alongside internal staff to develop AI strategy, build enterprise-grade solutions, and upskill teams through commercial and government-funded training programs. Calibr also offers an AI maturity self-assessment that evaluates organizational capabilities across four levels.
Funding
Funding not disclosed
Founders
Product
Problem
Many businesses struggle to adopt AI successfully because they lack the internal skills, clear strategy, and structured approach needed to move from isolated experiments to lasting operational change. Without dedicated expertise and a coherent plan, AI initiatives often stall after initial pilots, leaving organizations without meaningful financial impact or sustainable capability.
Solution
Calibr creates bespoke AI transformation teams composed of new and existing employees, embedding engineers, architects, and analysts directly within client organizations to craft AI strategy and build enterprise-grade solutions. The company offers three core services: an AI Sprint to prove value in a focused business area, a full AI Transformation Team for long-term capability building, and AI Training programs for upskilling at all seniority levels. Calibr's approach centers on developing internal capability so organizations can continue their AI journey independently, with human judgment retained as the driver of transformation. The company also provides an AI maturity self-assessment that evaluates organizational readiness across four levels, from fragmented adoption to fully integrated practice.
Target Audience
Primary customers are UK-based organizations from fast-growing startups to household-name brands that view AI as a long-term transformation challenge and need to build internal capability to sustain adoption.
Features
- AI maturity self-assessment tool that evaluates organizational AI capabilities across four defined levels
- Bespoke AI transformation teams including Solutions Architects, Data Engineers, Deployed Engineers, and Enablement Leads
- AI Sprint engagements designed to build tailored applications that prove financial upside in focused business areas
- AI training and upskilling programs for all seniority levels, including commercial and government-funded options
- Ethics and safety framework anchored in Deloitte's Trustworthy AI framework with seven commitments covering privacy, transparency, fairness, responsibility, accountability, reliability, and safety
- Impartiality screening process that evaluates use cases against fairness, explainability, and public scrutiny criteria before proceeding