Cortavia
is a product
studio.

We design, build, and operate software for training, property, sales, therapy, and fostering teams.

Focus
Training / Property / CRM / Therapy / Fostering
Founded
2024
Based
Remote-first

Studio

Not a single product. A studio behind several.

Cortavia designs, builds, and operates a small family of focused web applications — each one shipped independently, each one built by the same team that keeps it running long after launch.

Every product is AI-first, but not AI-autonomous: models draft, a qualified human reviews and signs off, and the system keeps a verifiable record that it happened. Where a product makes a category claim, we check it against the published research first.

Products in the family

0

Live in production

0

Founded

0

Products — 05

The Cortavia index

Who we build for

Bespoke where it matters, generic where it should be

Our products are designed for a wide range of customers — from enterprise call centres to solo clinicians to university research centres. We meet that range with the same architecture: a configurable core, specialized wherever a given customer needs it.

01

Enterprise & operations

Kallossim is built for call centres, sales, and L&D teams training at scale; Clarqo is built for property and facilities operators managing day-to-day operations.

02

Public sector & healthcare

Kallossim's health and children's-services sector packs and Foster Match's caseworker review flow are designed for NHS, local-authority, and safeguarding contexts — sectors where a compliance-aware, evidence-backed approach isn't optional.

03

Private practice & clinicians

Balancing Walnut is built for licensed family therapists in the UK and US — one case at a time, with a signed clinical record for every session.

04

Academia & research

Kallossim's approach is checked against a systematic review of published safeguarding-simulation research, and Foster Match cites peer-reviewed child welfare literature behind its matching variables — the kind of grounding we intend to bring to formal research partnerships with accredited training programs (COAMFTE, AFT, BACP/UKCP) as those conversations develop.

How we build

Principles behind every product

01

AI drafts. A human decides.

Every AI-generated artifact — a clinical note, a case formulation, an outbound letter — is a draft until a qualified person reviews, edits, and signs it. We build the audit trail that proves that happened, not just a claim that it did.

02

Grounded in the literature, not the hype

Before we make a category claim, we check the research. Kallossim is positioned against a systematic review of the published safeguarding-simulation literature; Foster Match cites a peer-reviewed bibliography behind every matching variable; clinical knowledge in Balancing Walnut comes from a curated, source-cited corpus — not a model improvising.

03

One engine, many fronts

Underneath, a shared and configurable core: one CRM engine running outbound for every product, one clinical intelligence core with swappable UK/US compliance overlays. On top, a bespoke layer per customer — sector scenario packs, jurisdiction-specific rules, per-account configuration. Generic infrastructure and tailored delivery aren't a trade-off; they're the same architecture.

04

Focused, not bundled

Every product solves one problem well and ships on its own domain, with its own roadmap and identity.

Also: a build partner

Need an AI-first product built end to end?

The five products in this index are the proof, not a pitch: we design, build, ship, and operate AI-first software ourselves, across training, property, sales, clinical, and public-sector domains. If you need the same thing built for your problem — engineering, compliance, and go-to-market, not just a prototype — that is a conversation we can have.

01

Full-stack product engineering

Next.js and React front ends, Python/FastAPI and Node backends, Postgres with pgvector for retrieval — the same stack behind every product in our index, not a slide deck architecture.

02

AI systems, not prompt demos

RAG pipelines, multi-agent orchestration, and human-in-the-loop sign-off with a real audit trail — the pattern that makes Balancing Walnut's clinical loop hold up, applied to your problem.

03

Compliance built in from day one

GDPR, UK/US/Canada/Ireland statutory frameworks, DPIAs, and encrypted, tenant-isolated data handling — designed alongside the product, not bolted on before a sales call.

04

Go-to-market infrastructure included

The outbound engine we use to sell our own products (Flying Walnut) is the same one we can stand up for yours — discovery, enrichment, and AI-drafted outreach with a human in the loop.

Talk to ushello@cortavia.com