About Flock Synthetics

Find the failures ordinary test data misses.

Flock is evidence-backed synthetic user testing. We run realistic personas through software before customers do, then return browser evidence, severity, and an AI-ready repair prompt.

Our story

Flock started as a testing problem, not an AI demo.

It came from building high-trust systems where a small regression could break onboarding, compliance, risk review, or customer trust.

Chance and Christian first worked together at Stripe, where they helped build and operate global onboarding systems that had to remain reliable across complex combinations of account states, business types, lifecycle stages, regional requirements, and policy changes. That work shaped a shared belief: in high-trust systems, the most dangerous failures hide in the combinations ordinary test data rarely captures.

After Stripe, Chance was building an early startup and Christian was beta testing it. The product needed realistic onboarding data, but asking real companies to participate in such an early product was not the right answer. So Chance built a synthetic company: modeled people, roles, accounts, communications, routines, resumes, and business artifacts that could behave like a real organization without exposing one.

The synthetic company quickly became more valuable than the original test case. It revealed product gaps, supported realistic agent workflows, and resonated with other teams facing the same problem. Christian then built a more scalable MVP and sent it back with the observation that became Flock: this is the product.

Before scaling the code, they worked backward from the product experience they would want as operators: dashboard, artifacts, prompts, workflows, ingestion paths, and the end-to-end details. That process hardened the belief behind Flock: realistic synthetic users can help teams build from zero to one and catch subtle regressions before real customers do.

Founders

Built from high-trust operating experience.

We have built systems where failure was expensive: global onboarding paths, compliance systems, product safety programs, fulfillment networks, developer infrastructure, AI-enabled engineering workflows, and high-trust customer experiences.

Chance Kelch

Co-founder and Chief Executive Officer

Risk, compliance, operating models, and reliable AI systems.

Chance Kelch is co-founder and Chief Executive Officer of Flock Synthetics. He has spent most of his career around systems that break in the places teams forget to test: returns, safety reviews, compliance rules, account state, fulfillment exceptions, and policy changes. He started in industrial engineering and operations at Caterpillar and Amazon, later built product-safety systems at Amazon, led product and engineering for supply chain and order systems at StockX, and worked on onboarding compliance and merchant risk at Stripe.

Started in industrial engineering, inventory simulation, and operations before moving into product leadership.
Worked across Amazon product safety, StockX supply chain and order systems, and Stripe onboarding compliance and merchant risk.
Named inventor on U.S. Patent 10,223,353 for dynamic semantic analysis of free-text reviews to identify safety concerns, work tied to what became Amazon's Choice.

Read full bio for Chance Kelch

Chance Kelch is co-founder and Chief Executive Officer of Flock Synthetics. His work at Flock is about product judgment, operating systems, and the reliability problems that show up when software meets real users.

Chance started in industrial engineering and inventory simulation at Caterpillar. He moved into Amazon operations as e-commerce was changing the shape of physical systems, then worked across quality, inventory recovery, and software for customer returns. That early work left a mark: the important failures usually show up in exceptions, handoffs, and ordinary variation.

He spent ten years at Amazon in operations, product, data engineering, and science roles focused largely on consumer protection. His teams built machine-learning classification and policy-enforcement systems for product safety, restricted products, global trade, dangerous goods, private brand compliance, and recalls across Amazon and subsidiary businesses.

Chance is a named inventor on U.S. Patent 10,223,353 for dynamic semantic analysis of free-text reviews to identify safety concerns, work tied to internal consumer protection, external regulatory reporting, and what became Amazon's Choice.

At StockX, Chance led product and engineering teams working on supply chain, fulfillment, order systems, and product operating models. At Stripe, he led onboarding product work for merchant risk and compliance, including U.S. onboarding policy changes and AI-enabled policy evaluation.

Chance lives in Seattle with his wife, three boys, and their vizsla.

Christian Aranda

Co-founder and Chief Technology Officer

Infrastructure, developer systems, and synthetic user testing platforms.

Christian Aranda is co-founder and Chief Technology Officer of Flock Synthetics. He has spent more than 25 years building and leading infrastructure, developer platform, distributed systems, analytics, compliance, and enterprise implementation work. At Stripe, he was a Staff Product Manager on internal platforms including Remote Development, DDoS mitigation, and onboarding compliance. Earlier, he held product, solutions, and implementation roles at Ignitio, eBay, Adobe/Omniture, and Akamai.

25+ years across infrastructure, developer platforms, distributed systems, analytics, compliance, and enterprise implementation.
Former Staff Product Manager at Stripe leading high-impact internal platforms.
Previously held product, solutions, and implementation leadership roles at Ignitio, eBay, Adobe/Omniture, and Akamai.

Read full bio for Christian Aranda

Christian Aranda is co-founder and Chief Technology Officer of Flock Synthetics. He leads the platform work behind Flock: the infrastructure, developer systems, and product surfaces that make synthetic user testing useful in real workflows.

Christian has spent more than 25 years in technology, including 12 years in product leadership. His work has moved between large-scale infrastructure, developer platforms, distributed systems, analytics, compliance, and enterprise implementation.

Most recently, Christian was a Staff Product Manager at Stripe, where he led strategy and delivery for several internal platforms. He led Stripe's Remote Development platform, which is used by virtually every engineer at Stripe and later became foundational infrastructure for Stripe's Minions, unattended AI coding agents that generate more than 1,300 production pull requests per week.

At Stripe, Christian also worked on in-house DDoS mitigation, helping scale Stripe's capacity to absorb volumetric attacks without relying on third-party providers. He also led the ground-up overhaul of Stripe Canada's onboarding and compliance platform, bringing more than $80 billion in annual payment volume and 12 million active accounts into compliance with updated FINTRAC guidance.

Before Stripe, Christian was Director of Infrastructure Product and Data at Ignitio, where he led the company's move from bare-metal infrastructure to an AWS-first architecture, reducing costs by 80% while improving scalability and availability. Earlier in his career, he held product, solutions, and implementation roles at eBay, Adobe/Omniture, and Akamai Technologies.

Christian lives in West Virginia with his wife, children, and a small flock of chickens and ducks.

What we believe

Reliability belongs in the workflow.

Flock is built for teams that want to move faster without making customers their QA process.

The hardest failures hide in the combinations.

Static test data rarely captures the intersections of user behavior, business context, lifecycle state, policy logic, agent decisions, and workflow assumptions.

Evidence beats opinion.

Useful findings need screenshots, browser state, console evidence, severity, and a repair path developers can act on.

Reliability should move as fast as development.

Teams need ways to catch subtle regressions continuously, not just during manual QA or after production incidents.

Build against the edge cases

Find the rough edges before your customers do.

Run realistic personas before launch or in CI. Get the screenshot, browser evidence, severity, and fix prompt your team can act on.

Talk to us See how Flock works