Flybi / About
Company
We’re building the industrial intelligence platform, on purpose.
Flybi exists because the industrial world still measures itself with tools from the last century — while operating on balance sheets from this one. The gap is a systems problem, and it’s worth solving properly.
Thesis
Measurement, not drones.
Most "drone" companies are services shops: a pilot, a DSLR-in-the-sky, and a project-by-project invoice. They ship rasters and call it a day. That model is a floor — not a company.
Flybi is built on a different thesis: that the industries running on bulk tonnage, subsurface geology, and situational truth deserve the same engineering rigour that software companies apply to financial data. Reproducible pipelines. Versioned outputs. Compounding datasets. Audit-ready artifacts. That’s the standard.
We’re not trying to be the largest drone services company. We’re building the platform that makes drone services companies obsolete where it matters.
Operating principles
How Flybi works.
/01
Accuracy is a system property
It doesn’t come from an individual pilot or operator. It’s a property of the pipeline, enforced in code.
/02
Reconcile or don’t ship
Every deliverable is reconciled against independent ground truth before it leaves the system. No "best effort" reports.
/03
Platforms compound, services don’t
Every deployment feeds the next. Software, datasets, and pipelines get sharper with use.
/04
The artifact is the product
Customers don’t buy hours. They buy decisions. Every deliverable is the one they use — not the raw data they have to interpret.
/05
Honesty in the variance
We publish the variance inside the report. Customers deserve to see what we measured and how close we got.
/06
Built for compliance
Regulator-aligned by default. DGCA, partner-country frameworks, operation-specific permissions — all included, not added later.
The platform thesis
Where the moat comes from.
Flybi compounds on three axes — and each one gets stronger as we deploy.
Data moat
A proprietary ground-truth corpus
Every deployment adds calibrated, labelled, reconciled data to the training corpus. AI performance compounds site-by-site.
Pipeline moat
Hardened, versioned, reproducible
Geospatial pipelines that don’t drift — competitors are still debugging per-project processing while Flybi re-runs identical outputs at will.
Integration moat
Embedded in enterprise workflow
Once Flybi feeds an ERP, a GIS, or a finance close, the switching cost isn’t price — it’s operational continuity.
Founder-led
Leadership.
Flybi is founder-led, engineering-first, and privately held. We build close to customers and ship close to the code.
Keshav · Founder & CEO
Operator. Builder. Measuring the things that matter.
Keshav leads Flybi across strategy, engineering, and customer engagements. Domain-fluent in aerial operations, geophysics, and industrial software; day-to-day across every major customer deployment.
Leadership team
Tendering · Operations · Growth
A small, senior team covering tender discipline, field operations, and customer growth — with specialists in aerogeophysics, photogrammetry, and enterprise delivery. The team is intentionally flat.
Invitation
Customers, operators, partners, investors.
Work with Flybi
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