Clinc
By A2Hub Editorial. Published 2026-04-22. Last updated: 2026-04-22.
At a glance
- Founded: 2015 (incorporated as the commercialization of U-M Clarity Lab research)
- Founders: Jason Mars, Lingjia Tang, and collaborators from the U-M EECS Clarity Lab
- HQ: 220 East Huron Street, downtown Ann Arbor
- Funding raised: Approximately $59.7M total across institutional rounds
- Customers: USAA, Ford, Turkish Is Bank, Landmark Credit Union, and other financial services and enterprise customers
- Status: Private, operating
- Website: clinc.com
The pitch in one line
Clinc is the conversational AI platform that banks deploy when they need an actual assistant rather than a glorified IVR. The company was founded out of the University of Michigan EECS department before "conversational AI" became a category, and it has spent the years since building a customer base across global financial services.
Founding story: from Clarity Lab to 220 E. Huron
Clinc grew out of the Clarity Lab at the University of Michigan, the EECS research group co-led by Professors Jason Mars and Lingjia Tang. The lab's work focused on system-level optimization of large-scale machine learning workloads, and the conversational AI thread that became Clinc started as a research demonstration of how natural language understanding could be done end-to-end with deep learning rather than the slot-filling rules-based architectures that dominated the early 2010s.
The founders incorporated Clinc in 2015 as the commercial vehicle for that research. The bet was on a specific kind of customer: enterprises (banks in particular) that needed to deploy conversational interfaces against their own systems, not against a generic consumer use case. That positioning has held. Clinc's product roadmap has consistently prioritized enterprise deployment, multi-language support, and the integration plumbing that connects a conversational layer to a bank's core systems.
The company set up at 220 East Huron Street in downtown Ann Arbor. The Huron-Liberty corridor was already home to Duo Security and a cluster of growing software firms; Clinc's choice of address put it inside the same downtown talent flywheel.
What they build
Clinc's platform is conversational AI for enterprise. The product spans:
Natural language understanding. Deep-learning-based language understanding that handles intent recognition, entity extraction, and disambiguation across multiple languages without the rigid intent-by-intent training that older platforms required.
Multi-language deployment. Multi-language and multi-region deployment, which has been a particular strength for international banking customers.
Banking-specific capabilities. Account inquiry, transaction history, transfer initiation, fraud reporting, and the rest of the banking customer service workload, deployed across voice and text channels.
Enterprise integration. Connectors to core banking systems, CRMs, and the rest of the enterprise stack that a conversational layer needs to actually act on customer requests rather than just route them.
Custom enterprise deployment. A consulting-plus-platform model where the Clinc team works with customers to design, train, and deploy assistants tailored to specific business workflows.
The customer roster has reflected the enterprise-first positioning. USAA, the largest US insurer for military families, has been a marquee customer. Ford has been on the customer list. Turkish Is Bank, one of Turkey's largest banks, has been a public reference. Landmark Credit Union has been on the small-and-mid-market side of the customer base.
Funding history
Clinc has raised approximately $59.7M in total disclosed funding. The capital base has come from a mix of strategic and institutional investors active in conversational AI and enterprise software. The company has not pursued the kind of growth-equity unicorn round that would force a sale or a public listing. The strategy has been to build sustainable enterprise contracts at a manageable burn rate.
That posture has had its costs and benefits. The cost is that Clinc has not generated the breakout press cycle that some of its conversational AI competitors did during the 2017-2020 hype peak. The benefit is that the company is still operating, still serving customers, and still hiring while many of its peers have either been acquired or shut down.
Ann Arbor footprint
Clinc operates from 220 East Huron Street, on the eastern edge of the downtown Ann Arbor tech corridor. The Ann Arbor team has historically included engineering, research, customer engineering (deployment and integration), and senior leadership. Headcount has been in the dozens rather than the hundreds, consistent with a focused enterprise software firm.
The company's connection to the U-M EECS department is more than nominal. Mars and Tang have continued to maintain academic affiliations through periods of Clinc's history, and the company has been a recurring destination for U-M EECS graduates interested in production conversational AI systems rather than research roles.
Leadership and people
Clinc has had executive transitions over its history, with founder Jason Mars stepping into and out of the CEO role at different points. The current operating leadership and the day-to-day status of founder involvement should be cross-checked on the company website before citing in detail. What is consistent through every leadership transition is the U-M Clarity Lab intellectual foundation and the focus on enterprise conversational AI.
Why it matters
Three reasons Clinc matters in the Ann Arbor AI story.
First, it is one of the cleanest examples of U-M EECS faculty research becoming a venture-backed company in the modern AI era. The Clarity Lab origin story maps directly onto the University of Michigan tech startups playbook.
Second, it is one of the longer-tenured AI-native companies in the city. Clinc was building production conversational AI for banks before the post-ChatGPT enterprise AI rush. That tenure means a depth of customer deployment knowledge that newer entrants have to build from scratch.
Third, it sits inside Ann Arbor's Brookings AI Star Hub designation as one of the named applied-AI companies. The Brookings 2025 report identified 28 US "Star Hubs" for AI development; Ann Arbor's inclusion was driven in part by the density of AI-native companies operating from the city, of which Clinc is one.
Related
- Genomenon is the U-M-spinout AI company applying machine learning to genomic interpretation.
- Sight Machine is the Ann Arbor / SF manufacturing AI platform with a similar enterprise-first deployment model.
- BlueConduit is the U-M-spinout AI company applied to water infrastructure and lead service line identification.
- The AI category hub covers the full Ann Arbor AI bench.
- The companies directory is the master index.
FAQ
Where is Clinc headquartered? Clinc is headquartered at 220 East Huron Street in downtown Ann Arbor, Michigan.
Who founded Clinc? Clinc was founded by Jason Mars, Lingjia Tang, and collaborators from the University of Michigan EECS Clarity Lab. The company was incorporated in 2015 as the commercialization of conversational AI research from the lab.
What does Clinc do? Clinc builds conversational AI for enterprise, with a particular focus on banking and financial services. The platform handles natural language understanding, multi-language deployment, and integration with core banking and enterprise systems.
Who are Clinc's customers? Public customer references have included USAA, Ford, Turkish Is Bank, and Landmark Credit Union. The customer base spans large banks, regional and community financial institutions, and other enterprise deployments.
How much funding has Clinc raised? Clinc has raised approximately $59.7M in total disclosed funding across institutional rounds.
How does Clinc differ from generic large language model platforms? Clinc's product is enterprise conversational AI with deep customization for specific business workflows, integration with enterprise systems, and multi-language deployment. Generic LLM platforms are general-purpose foundation models; Clinc is the deployment layer that makes those capabilities work inside a regulated enterprise like a bank.