Made by Builders. For the Innovators Who Shape the Future.
We're data engineers who spent years building the same business data infrastructure over and over again. We founded SavvyIQ in 2024 to give teams a better choice: buy instead of build, so they can focus on delivering exceptional products to their customers instead of wrestling with data infrastructure.
The Problem We Lived
The Problem We Lived
50+ Years of Collective Experience: With nearly 50 years of collective experience across the San Francisco Bay Area technology community, our founding team has worked in SaaS, FinTech, InsurTech, and Cybersecurity at companies ranging from large enterprises to fast-growing startups.
In every role, at every company, we faced the same frustrating reality: there's no great solution for plug-and-play business data infrastructure. Teams are forced to choose between throwing armies of engineers at building systems from scratch, using subpar tools that don't deliver accuracy, or relying on manual processes that don't scale.
"The dirty secret of the data world? Most 'automated' data processes still have humans in the loop."
We've seen teams processing petabytes of data monthly while struggling with basic entity resolution. We've watched companies spend millions building internal data infrastructure that delivers inconsistent results.
The Discovery That Changed Everything
The Discovery That Changed Everything
SavvyIQ started as an investigation into building an agent-based product. But during development, we discovered that existing business data tools were insufficient to provide the level of accuracy and trust required for mission-critical applications.
The Core Problem - Lack of canonical identity: When you search for business information, you often get what appears to be a precise result. But dig deeper, and you'll find it's actually a conflation of multiple entities that LLMs and search engines present as a single, authoritative answer.
This entity conflation breaks trust in environments where precision matters, which is everywhere business data is used for decisions, compliance, risk assessment, or customer experiences.
Our AI-Native Approach
Our AI-Native Approach
We're building what Stripe, Twilio, and Plaid built for their respective industries: infrastructure as a service that just works. Our composable, mix-and-match APIs let teams solve data infrastructure challenges without building and maintaining complex systems internally.
Our approach is different because it's AI-first and AI-native. We use artificial intelligence to streamline processes, ensure consistency, and deliver accuracy at scale by bypassing the traditional manual approaches that other companies rely on with their inherent flaws.
We believe this represents a modern approach to how business data should work in technology companies. Instead of forcing teams to choose between building massive internal infrastructure or accepting inaccurate results, we provide a third option: reliable, usage-based business data infrastructure that scales with your needs.
Proven at Scale
Proven at Scale
Today, SavvyIQ powers critical business data infrastructure for companies ranging from SMBs to publicly traded enterprises with multi-billion dollar market caps, PE-backed companies worth billions, and VC-backed startups scaling rapidly.
100M+ Records Processed with Precision: Our APIs are being used to process millions (even over 100 million) records with unmatched accuracy and precision:
- Parsing large volumes of legal and regulatory filings to extract and understand business entities at scale
- Processing financial transactions to get better fidelity on the businesses behind each transaction
- Enhancing procurement environments to understand vendor relationships within massive datasets
- Normalizing sales and marketing data to understand company relationships and hierarchies
In every case, we help teams handle business data at scale while delivering the accuracy and trust that modern applications demand.
Our Mission
Our Mission
We're building the modern alternative to traditional business data providers. Instead of forcing teams to build data infrastructure from scratch or accept the limitations of legacy solutions, we provide composable APIs that deliver canonical business identity at scale.
We believe that in a world where AI agents and intelligent systems are becoming critical business infrastructure, having accurate, trustworthy business data isn't just nice to have - it's essential. We're here to make that possible for every team, regardless of size or technical resources.