
Trigan helps geo‑located communities and organizations identify challenges, co-design solutions, and manage projects from initiation to completion using community input and AI-driven prioritization. The platform is a B2B SaaS "Societal Operating System" that combines community digital twins, local LLM deployment, AI/ML optimization, and transparent resource allocation to produce trackable actions and measurable outcomes. Technically it is built on microservices in Go, Kubernetes, Docker, gRPC, PostgreSQL/TimescaleDB, and a Next.js/TypeScript frontend, with CI/CD, Terraform, and support for federated learning and blockchain components. Trigan targets local governments, community groups, emergency services, healthcare providers, and corporations running place-based programs or smart-city initiatives. The product is positioned for pilots and deployments requiring on‑premise or sovereign data setups and integration with existing governance and operational systems.

Trigan helps geo‑located communities and organizations identify challenges, co-design solutions, and manage projects from initiation to completion using community input and AI-driven prioritization. The platform is a B2B SaaS "Societal Operating System" that combines community digital twins, local LLM deployment, AI/ML optimization, and transparent resource allocation to produce trackable actions and measurable outcomes. Technically it is built on microservices in Go, Kubernetes, Docker, gRPC, PostgreSQL/TimescaleDB, and a Next.js/TypeScript frontend, with CI/CD, Terraform, and support for federated learning and blockchain components. Trigan targets local governments, community groups, emergency services, healthcare providers, and corporations running place-based programs or smart-city initiatives. The product is positioned for pilots and deployments requiring on‑premise or sovereign data setups and integration with existing governance and operational systems.
Product: B2B SaaS 'Societal Operating System' for community decision‑intelligence and project management
Tech: Microservices (Go), Kubernetes, Docker, gRPC, PostgreSQL/TimescaleDB, Next.js/TypeScript
Customers / Targets: Local governments, community groups, emergency services, healthcare providers, corporations running place‑based programs
Founded: December 2021
Team size: 14 employees (reported)
Community governance, civic decision‑making, emergency response, healthcare program deployment, and smart‑city operations.
2021
Blockchain and Crypto
Latest disclosed grant round
“Business Gateway Dumfries and Galloway; EuroCC-Austria; FIRE-RES; Make IT in Oradea; Scottish Enterprise; South of Scotland Enterprise; Startup Madeira; Sunderland Internet of Things (IoT) and 5G accelerator; West Midlands Health and Wellbeing Innovation Network”
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Job description
Business Growth Associate at UK AI Startup
Compensation: £500 GBP/month for 6 months
6-month freelance contract, potential permanent role
About Trigan: We're a deep tech startup building decision-making AI for enterprise and healthcare. Our platform has delivered successful pilots with the UK's NHS and we're expanding across Europe.
The Role:
Identify and qualify sales opportunities in healthcare and government sectors
Conduct outreach to potential clients via email, LinkedIn, and calls
Build relationships with key decision-makers
Support sales presentations and product demonstrations
Maintain CRM records and sales pipeline reporting
What We're Looking For:
Ideally 2+ years B2B sales or business development experience
Excellent written and spoken English
Experience with CRM tools and LinkedIn Sales Navigator preferred
Understanding of government, enterprise or healthcare sectors is a plus
Comfortable working with technical products/solutions
Hours: full-time.
Early Opportunity: High-performing candidates considered for permanent roles with large performance-based incentives!
To Apply: Send CV and a brief cover letter explaining:
Why are you the right person for the job?
Tell us one interesting thing about you.
What do you understand about Trigan?
Please don't use AI for this one - we can tell!