Making complexity manageable
Use advanced analytics and AI to simplify demanding tasks and processes.
About Colligere
Built around the work people do
Colligere AI Analytics brings together experience in research, technology and operational delivery to build products that address practical challenges. We focus on understanding how people work, where complexity slows them down and how thoughtful design and AI can help.
Who we are
A product company with a practical purpose
Colligere AI Analytics was founded on the belief that technology should make demanding work easier to carry out. Drawing on a broad range of experience, including research, public health, diagnostic AI and software engineering, we understand the challenges teams face when their tools do not fully support their work. We bring that experience to building intelligent systems that are faster to develop, easier to deploy and more useful in practice.
We're building a family of products guided by this purpose, starting with Ploceus360™. Our aim is to make complexity manageable and help organisations realise the full potential of their data through advanced analytics and AI.
Unlocking data’s potential
Help organisations discover and use the value within their data.
Technology with purpose
Build products around practical challenges and the people facing them.
Responsible innovation
Develop with security, sound engineering and human oversight at the core.
How we build
Useful technology begins with disciplined engineering
We start with the information, workflow and operational problem that needs to be solved. From there, we consider users, data, infrastructure, security, deployment conditions and the role AI should play. AI should earn its place in the system, and the compute required to deliver value should be proportionate to the problem being solved.
This means treating responsible AI as an engineering concern: using appropriate data, applying clear human oversight, reusing proven approaches where appropriate, limiting unnecessary complexity and considering security, reliability, efficiency and deployment conditions throughout the product lifecycle.
Problem-led
Define the operational problem before choosing the technology.
Evidence-led
Test assumptions, validate choices and measure what matters.
Secure by design
Build privacy, access control and responsible use into the architecture from the start.
Built for deployment
Design for real users, real workflows and real operating constraints.
Efficient by design
Use AI and compute deliberately, balancing performance with model, inference and infrastructure efficiency.
Leadership & advisors
Focused leadership, specialist perspective.
Leadership
Founder & CEO
Ntazana Sindano
Founder & Chief Executive Officer
Oxford-trained software engineer with 20+ years of experience working with complex data systems, software and applied AI.
Colligere AI Analytics combines founder-led product vision with a competent group of independent advisors in artificial intelligence, legal and governance, investor strategy and business development. This provides the company with broader expertise as it develops products, builds partnerships, manages risk, engages investors and expands into new markets.
Advisors
Advisor
Edward Palmi
Legal
Healthcare technology Legal Counsel with expertise in governance, commercial risk and the legal foundations of company growth.
Advisor
Angela Guestrau
Business Development
Former L'Oréal London business development executive with 20+ years in corporate strategy, partnerships, growth and customer relationships.
Advisor
Juan Prieto
Artificial Intelligence
PhD-trained AI specialist and former UNC-CH assistant professor with deep experience in machine learning, medical AI and real-world systems.
Advisor
Chipo Muwowo
Investors & Capital Markets
Investor and growth advisor helping Colligere AI Analytics strengthen its funding strategy, market positioning and long-term value creation.
Security by design
Trust begins with how we build
We approach security as part of the whole system, shaping design decisions from the first requirements through development, deployment and ongoing operation. We consider how data is collected, accessed, stored and shared alongside the infrastructure, hosting environments and system connections that support it. Our approach brings together privacy, appropriate access controls, encryption, monitoring and recovery planning, with safeguards suited to the sensitivity of the data and the context in which each product will be used. Where AI is involved, human oversight and clear accountability remain central. These considerations guide how we develop, test and refine our systems so that security and resilience grow with the product.
Insights
Ideas, conversations and practical perspectives
Explore our articles and podcasts on data, AI and the systems behind better research and programmes.
Read
Articles & perspectives
Thoughts on better data, thoughtful design and AI in practice.
New articles coming soon.
Listen
Podcasts & conversations
Conversations exploring ideas, experiences and the people behind the work.
New conversations coming soon.
Work with Colligere
Turn complex data challenges into practical systems
Talk to us about secure data platforms, connected data, workflow automation and applied AI for real operational challenges.