about us

Built by practising ecologists, not a software company guessing at the workflow.

CIEEM membersUK consultancyEcologist in the loop

the team

Jack Flynn, founder of Ecorva AI

Jack

Founder, Assistant Ecologist, MSc Biology

Hi, I'm Jack. I've worked in the ecology sector for four years and continue to do so — from preliminary ecological appraisals to bat activity and emergence surveys, badger sett monitoring and great crested newt surveys, you name it. I know the struggles of QGIS mapping, survey write-ups, sifting through large datasets and, of course, battling with MAGIC. A bit more about me: I have an MSci in Biology with a specialism in sensory ecology and statistical analysis in R and MATLAB for behavioural biology and animal tracking research. I developed Ecorva after being frustrated with repetitive administrative tasks such as writing habitat connectivity paragraphs, going through hundreds of protected species records and, I'm sure you'll agree, reviewing endless hours of bat footage. I decided to make tools to solve these issues, and I hope you love using them as much as I do.

“Ecologists should spend less time formatting documents and more time on the decisions that actually benefit nature.”
Jack Flynn, Founder, Ecorva AI

our background

We work the same seasons you do, with surveys in the field and reports in the evening. Every release is tested against live consultancy jobs before it ships, so the software fits real deadlines rather than a product roadmap.

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0+ years’

combined experience in ecology

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0

Apps in beta

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0+

Bat images trained

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0%

Ecologist reviewed

what we solve

Habitat ConnectivityProtected Species SummariesLocal AI Infrared Bat Footage ReviewLocal Record Centre Understanding

faq

Ecorva is built by practising ecologists who hold CIEEM membership and still do survey and reporting work. Every feature starts from a job we have personally had to deliver: a full bat assessment, PEAs, PRAs, EcIA. If there is an acronym for it, we have done it. We have been daunted by the prospect of sifting through thousands of species records to ensure we provide the best safeguards and mitigations for species, and of clicking our way through MAGIC for habitat connectivity assessments. When something in the app does not match how a real survey season runs, we know because we are the ones filing the report.

The species app and habitat app are deterministic and do not use an AI model. The bat detection pipeline uses a small, powerful, offline AI model and runs completely locally on your device! The tools draft repeatable structure, species tables, formatting and leave interpretation to you, the ecologist. You review, edit and sign off every line. We call this ecologist in the loop, and it is a hard design rule rather than a marketing phrase.

All protected species locations stays locally on your machine, we never will use the data to train, sell or even store with third-party services and access is scoped to your organisation.

Because you get direct influence over the roadmap and pricing that reflects the stage we are at. Founder partners talk to us weekly, get features built against their own templates, and keep everything they produce whether or not they continue. We would rather be honest about being early than invent a customer list we do not have.

That is the intention. Outputs export to editable documents so they drop into your house style and internal review chain rather than replacing it. During onboarding we work from your existing report templates and terminology. If a workflow cannot be matched, we will say so up front instead of asking you to change how your team already works.