About
Built on the conviction that bad data is not inevitable.
Two people. One problem. No patience for the status quo.
Who built this
We spent a decade in B2B data - and decided to fix it ourselves.
Between us, we've seen the same problem from both sides. The go-to-market side watched bad data silently destroy pipeline, quarter after quarter. The engineering side watched verification get bolted on as an afterthought, when it should have been load-bearing. Filto is what happens when both of those people stop waiting for someone else to fix it.
Vivek
Co-Founder & CEO
A decade in B2B demand generation, audience products, and ad tech. Built and ran data operations at scale. Saw the accuracy problem from the inside, every quarter, for years. Talks to customers. Shapes the product. Tells the story.
Satchit
Co-Founder & CTO
14 years of software engineering across platforms, AI systems, and infrastructure. Technical foundation of Filto - the architecture, the verification pipeline, and the engineering decisions that make it work at scale. Builds the things that make the company possible.
What we believe
We believe the data underneath everything has been ignored for too long.
Verification is infrastructure, not a feature.
The B2B data industry has spent fifteen years building better dashboards on top of the same decaying data. More fields. More filters. More integrations. None of it matters if the underlying records are wrong.
We're not building another tool. We're building the layer that makes every other tool actually work.
Accuracy is a revenue problem, not a hygiene problem.
Bad data isn't a CRM cleanup task. It's pipeline that doesn't convert. It's campaigns that underperform. It's a CRO forecasting on fiction because half the contacts in the system are stale.
When 4 out of 10 contacts are wrong, the cost shows up everywhere. We treat that cost like the revenue problem it actually is.
Humans and AI are not a tradeoff.
Fully automated verification means scraping, errors, and account bans. Fully manual verification means slow and expensive. The industry keeps picking one and accepting the downside.
The right answer is neither. People verify at the source. AI extracts and processes what they find. Automation runs the workflow. All three. Always.
Continuous beats one-time.
Data decay is a physical law of B2B. People change roles. Companies restructure. Titles drift. Verifying once and calling it done is like cleaning a house once and calling it permanently clean.
Filto verifies on a 30-day cycle because that's how fast the world actually changes.
Source-agnostic by design.
Any verification approach that depends on one platform is a platform risk. Policy changes, account restrictions, terms updates - all of it can break a system built on a single source overnight.
We built Filto to verify against any credible public source, in any language. No single change anywhere disrupts the whole.
If this resonates, we should talk.
Filto is for teams that have stopped accepting bad data as the cost of doing business.
Talk to Us