Why not raise VC to grow faster?

Speed matters but so does direction. We have chosen to build deliberately, with autonomy and focus. For a platform like SIRV, which deals with complex systems, risk and trust, this approach helps us move fast without breaking the wrong things.

How are you funding growth?

Growth is funded through disciplined, organic expansion backed by committed internal capital. We prioritise product-market fit, real user problems and measured scale, not runway burn or fundraising milestones.

Are you planning to raise capital?

We are not actively raising at this time. Our current model gives us the freedom to operate independently and sustainably. That said, we remain open to strategic conversations with partners who bring more than capital, particularly where there is strong alignment with our mission and users.

Is SIRV venture backed?

No. SIRV is privately funded by its founding team and long-term partners. We have deliberately chosen to build without traditional VC funding so we can remain focused on mission, execution and long-term value.

About SIRV

We build technology for consequential operational work.

SIRV is a UK technology company developing controlled AI workflows for safety, security and resilience teams. Our work combines operational experience, software engineering, data and applied AI.

Explore SIRV AI Talk to SIRV

Founded2011
HeadquartersCanary Wharf, London
OwnershipPrivately funded
FocusSafety, security and resilience

Company history

From operational records to operational AI.

SIRV stands for Systematic Intelligent Risk Valuation. Founded by Andrew and Philip Tollinton, the company has spent more than a decade building technology around operational risk, reporting, evidence and decision support.

2011

SIRV founded

Technology designed around operational risk, reporting and accountability.

→

Operational systems

Records become structured evidence

Incident reports, occurrence books, proof of presence and operational records.

→

Operational intelligence

Records support decisions

Connecting internal information, external context and analysis to improve operational understanding.

→

Today

SIRV AI

Purpose-designed AI workflows built around evidence, traceability, review and human responsibility.

Operational experience

AI is new. The operational problems are not.

Before SIRV AI, SIRV was already building systems used to capture incidents, maintain operational records, understand risk and support decision-making. That history shapes how we approach AI today.

Applying AI to consequential work requires more than connecting a model to documents. The workflow, source material, exceptions, review points, accountability and operational consequences all need to be understood.

2011SIRV founded, with an initial focus on operational risk and reporting.

30m+records processed across SIRV systems.

7 yearsaverage customer retention across the business.

Operating approach

How we approach operational AI.

The aim is not to make AI look impressive. It is to make a defined piece of operational work more dependable, reviewable and useful.

Evidence

Outputs should connect back to the procedures, documents, records or other sources being relied upon.

Defined workflow

The task, inputs, outputs, boundaries and exceptions are established before deployment.

Human judgement

AI supports investigation, assessment and review. Responsibility remains with the appropriate person.

Traceability

Important outputs, decisions and follow-up should remain reviewable afterwards.

Learning

Actions, outcomes and lessons should improve future operational work rather than disappear into isolated conversations.

Leadership

Operational, engineering and analytical experience.

SIRV is led by people with experience across risk management technology, software engineering, mathematics, data science and applied AI.

Andrew Tollinton

CEO & Co-Founder

Andrew leads SIRV with a background spanning risk management technology, business leadership and applied AI. He chairs the Institute of Strategic Risk Management's AI in Risk Management Special Interest Group.

Dr Philip Tollinton

CTO & Co-Founder

Philip leads technical architecture and engineering. His background spans software engineering, databases and scientific computing, with more than twenty years' experience as an Oracle DBA.

Calum Doran

Head of AI

Calum leads AI development at SIRV, with a background in mathematics, statistics and applied data science, including postgraduate study in data science and statistics.

Dr Susan Zhang

Board Adviser

Technologist and business leader with experience across major global technology companies, venture capital and international partnerships.

Lyle Brotherton

Board Adviser

International search and rescue specialist with experience advising governments and security services on emergency response and disaster mapping.

Dr Alessandro Riccombeni

Board Adviser

Scientist and entrepreneur with experience in genomics, technology innovation and company building.

Ownership

Independent by design.

SIRV is privately funded by its founders and long-term partners.

Independent ownership allows the company to make long-term decisions around product development, customer requirements and the reliability of systems used for consequential operational work.

Evidence

Examine the evidence.

Rather than asking buyers to rely on broad claims, SIRV makes the underlying operational evidence easier to inspect.

Case studiesReal operational deployments and outcomes.→ Security & privacyHow information, infrastructure and controls are managed.→ How SIRV measures impactHow workflow performance and operational value are assessed.→ Awards & recognitionIndependent recognition of SIRV and its work.→

SIRV AI

See how SIRV applies this approach to a real workflow.

SIRV AI provides purpose-designed workflows for safety, security and resilience teams, with evidence, controls and human review built around the work being performed.

Explore SIRV AI Discuss a workflow