Verne designs and builds bespoke AI agents, operational software, data systems, and mission-critical integrations for teams whose workflows are too important, too specific, or too complex for off-the-shelf tools.
Your business logic is already there. It's just trapped across spreadsheets, legacy systems, inboxes, PDFs, siloed databases, field reports, and undocumented human routines. Verne maps that environment and builds AI-native systems that connect people, data, and decisions.
Six capability clusters, deployed individually or composed into one operating system. Every engagement begins inside your real environment, not a slide deck.
Build internal agents that search, reason, draft, classify, route, summarize, and execute within controlled business workflows.
Custom platforms for organizations whose core workflows cannot be solved with SaaS templates.
Data infrastructure that converts scattered information into dashboards, models, alerts, and decisions.
Secure system-to-system interoperability for organizations with messy legacy and modern platforms side-by-side.
Production-grade infrastructure for systems that must be secure, observable, scalable, and cost-controlled.
Premium websites, interactive 3D, digital twins, AR/VR, and cinematic product storytelling for high-stakes brands.
Embedded enough to understand the work. Technical enough to rebuild the system. Our engagement model is engineered for organizations that need real software shipped against real constraints, not consulting decks.
Unify services, data, and decisions across complex public systems.
Turn documents, regulations, and case workflows into intelligent review systems.
Connect design data, field activity, and project intelligence.
Modernize reporting, risk, compliance, and transaction intelligence.
Build secure systems for data-heavy, protocol-driven, high-stakes work.
Create immersive digital environments that explain, train, sell, and engage.
Dynodoc, Zeus, Ogun and Asten have a public pre-alpha release, 0.0.1c, published on 28 October 2026 for Windows and Linux. Each also has a hosted version to try in your browser, updated alongside the desktop releases. Conpass is in early access. Pre-alpha means unfinished: expect rough edges, and do not trust it with data you cannot lose.
Pre-alpha 0.0.1cVersion control for documents, spreadsheets and presentations. The desktop app manages changes, history and sync; add-ins connect the editors.
Product site for Dynodoc (opens in a new tab)GitHub repository of Dynodoc (opens in a new tab)Read more about Dynodoc
Pre-alpha 0.0.1cA session-aware download and file layer for AI agents: daemon, MCP server, command line and desktop client.
Product site for Zeus (opens in a new tab)GitHub repository of Zeus (opens in a new tab)Read more about Zeus
Pre-alpha 0.0.1cA local-first developer platform for data engineering workflows, lineage and agent benchmarks, built on the Zeus engine.
Product site for Ogun (opens in a new tab)GitHub repository of Ogun (opens in a new tab)Read more about Ogun
Pre-alpha 0.0.1cA local-first writing desk with a canon engine that marks contradictions in long manuscripts. It never writes your prose.
Product site for Asten (opens in a new tab)GitHub repository of Asten (opens in a new tab)Read more about Asten
Early accessA geo-fenced event radar for founders: ranked events and a clock for tickets and deadlines.
Product site for Conpass (opens in a new tab)Read more about Conpass
Most of our work is engineered for a single organisation. The same team builds the products above.
These are composite scenarios with targets, not results. We will replace them with named engagements as clients agree to be quoted.
From 18 February 2027 each e-bike battery sold in the EU needs an electronic passport behind a QR code. We built the data pipeline, the identifiers and the role-based views so the exporter's buyer stopped waiting for spreadsheets.
Staff were asking colleagues instead of the policy library, and sometimes citing withdrawn circulars. We built retrieval that filters by permission and effective date inside the query, cites the version, and declines when the documents do not answer.
The monthly count took three days and still did not explain the write-offs. We replaced typed balances with a movement ledger, scanning on an offline-first app and blind counts with approval thresholds.
Partners & products
Infrastructure, research and delivery partners we work alongside, and Dynodoc, one of the products we build ourselves.
In 7–10 working days, Verne maps your workflows, data sources, repetitive decisions, automation opportunities, and AI risk areas. You receive a prioritized roadmap showing what to automate, integrate, avoid, and build first.
