InstantViewAI is built by a team that has spent two decades turning messy enterprise data into decisions the business can trust — inside some of Europe's largest organisations. The hardest version of that problem was always cloud and AI spend: millions of resource-level billing rows, no business context, and finance left to reconcile it by hand. Existing tools were either FinOps optimizers built for engineers, or BI dashboards too generic to enforce a budget. None were built for the way a finance team actually thinks — so we built it.
Make cloud and AI spend behave like every other line in the P&L — predictable, owned, and auditable.
Treat finance as the customer. Build governance — not just dashboards. Make every decision auditable by default.
Every feature is reviewed by a finance practitioner before it ships. If a CFO wouldn't trust the number, we don't ship it.
Every material state change writes an audit event to an append-only log.
We use proven, well-understood tech — Go, Postgres, BigQuery. InstantViewAI has read-only access and runs separately from your finance systems, so it cannot take them offline.
Each customer is an isolated tenant with separated data in Postgres and BigQuery. Secrets encrypted via GCP KMS envelope encryption.
Forecasting and the assistant use AI — but every answer ties back to specific resources and source data. No black boxes.
Early-access customers get direct access to the founding team and have shipped real features in our roadmap.
InstantViewAI isn't a dashboard with a finance skin bolted on. It's built by a senior, founder-led team across engineering, security, finance and design — people who've spent their careers building exactly this kind of system for some of the largest organisations in Europe.
The allocation engine, forecasting and audit trail — built on Go, Postgres and BigQuery by people who've shipped enterprise data systems for 20+ years.
Multi-tenant isolation, read-only architecture and KMS envelope encryption — reviewed by a dedicated security specialist before procurement.
Every feature is signed off by a finance practitioner. If a CFO wouldn't trust the number, it doesn't ship.
A cockpit a finance lead can read in seconds — shaped with a product designer, not bolted on after the fact.
20+ years turning enterprise data into governed decisions — across telecom, energy, pharma, retail and government — most recently as a solution architect for the Dutch central-government real-estate agency.
The core is architected and built by the founding team — the way the best enterprise systems are built: by people who understand the whole stack, not a hand-off chain. Around them is a bench of senior advisors and fractional specialists — in security, design and finance — who join by name during onboarding, security review and procurement. You get a senior team's judgement without a big vendor's layers between you and the people who built the product.
And it's deliberate that company size doesn't put your data at risk: the platform is read-only by architecture with a 90-day exit clause — so InstantViewAI can't start, stop, or modify resources in your environment, and you're never locked in.
Want to meet the advisors who'd join your onboarding and security review? team@instantview.ai — usually back within one business day.
First working prototype of the cost allocation engine — built on 20 years of doing this for enterprises.
Started working with a handful of European design partners — finance teams in SaaS and AI-native companies.
Adding new design partners by referral while we shape the product with the ones we have. White-glove onboarding from us, not a CSM.
Formal security certification, GA pricing, self-serve onboarding.
We're looking for design-partner customers and a couple of senior engineers. Both lead through the same form.