Made by Builders. For the Innovators Who Shape the Future.
We're builders who spent years wrestling with the same business data infrastructure challenges over and over again. We founded SavvyIQ 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 and Vancouver technology communities, our founding team has worked in SaaS, FinTech, InsurTech, Cybersecurity, and Identity Solutions 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 Approach
Our 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.
We automate the entire process from end to end - data ingestion, entity resolution, enrichment, and validation. While legacy providers bolt AI onto decades-old manual processes, we built automation into every layer from day one. The result: consistent accuracy, faster turnaround, and the ability to handle the messiest data that others can't.
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. Our APIs are being used to:
- Parse large volumes of legal and regulatory filings to extract and understand business entities at scale
- Process financial transactions to get better fidelity on the businesses behind each transaction
- Enhance procurement environments to understand vendor relationships within massive datasets
- Normalize 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.
Meet the Founders
Meet the Founders
Jordan MacAvoy
CEO & Co-Founder
Jordan is an accomplished executive with deep experience scaling startups and growth-stage companies. He has held executive leadership roles across marketing, sales, and business development, with a focus on building high-performing teams and bringing novel products to market. Throughout his career, Jordan has seen firsthand how fragmented business identity and intelligence creates friction across every function, from sales and marketing to customer onboarding, risk management, and back-office operations. Recognizing that this drag on efficiency compounds as companies scale, he founded SavvyIQ to solve it. Jordan is passionate about reimagining data infrastructure to unlock value in the AI era.
Michael Frye
CTO & Co-Founder
Michael is a seasoned technology leader specializing in large-scale data systems and AI infrastructure. He has designed and operated systems managing petabyte-scale datasets and billions of monthly transactions across insurance, fintech, and enterprise AI platforms. His experience includes building telematics pipelines at petabyte scale, modernizing financial data infrastructure, and founding an account-based marketing platform built on identity resolution and distributed data pipelines. Most recently, he implemented generative AI capabilities for Fortune 500 clients. His expertise in data engineering and applied AI makes him ideally suited to build SavvyIQ's technical foundation.
Gaurav Singh Thakur
CPO & Co-Founder
Gaurav was the first technical product manager at a leading identity verification company, where he helped scale the business from Series A to a $1.8B valuation. Over five years, he led multiple product lines including KYC, KYB, and document verification. He later held product roles at major tech companies, building expertise in data-driven platforms at global scale. With an MSc in Computer Science and a background in data engineering, Gaurav combines deep technical knowledge with product leadership. He's driven by the vision of creating a "Google for business information" where anyone can confidently answer questions about any company.
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.