Trace
5 employees · 11 known investors
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493 people in our graph share verified history with the Trace team — schools, employers, funds. One of them is your warm intro.
Trace (Tracetec) builds AI voice agents that handle customer support calls for financial institutions, resolving issues such as real-time payment tracking and fraud claims. It aims to reduce the cost and friction of human-centric phone support for banks and their customers.
Also known as Trace (tracetec.co) · TraceTec
Founders & leadership
Investors · 11
Also in the syndicate · 1
Funding
SEC filings, press & company announcements- Undisclosed amountseed fundingFeb 2026
Formosa Capital, Goodwater Capital, Transpose Platform Management, WeFunder, Y Combinator, Zeno Ventures
Source ↗
Source: company announcements and press reports — follow each round's link for the claim.
Company profile
researched Aug 2026Trace, operating at tracetec.co, develops AI customer service agents aimed at fintech, banking and insurance institutions. Rather than only answering questions or deflecting users into self-service flows, the agents are designed to carry out the requested action inside the institution's own systems via secure APIs — examples given include replacing or applying for cards, tracking transactions, handling fraud reports and complaints, and restoring access for locked-out accounts. Responses are delivered over voice, chat or email in real time, and the agent (referred to as "Tracy") can be built in additional languages, with Hindi, Turkish and French demonstrated on the site.
The product is positioned around security and compliance controls: the company states that agents do not access user information without explicit authentication, do not deviate from company policy and escalate to humans when necessary, and that deployments can be hosted with the customer's existing cloud provider so data does not leave their environment. Published performance claims include 95% first contact resolution without handoff to human agents, under 0.2 seconds time to first token, and 24/7 availability. The site markets these capabilities as an alternative to conventional chatbots and general-purpose LLM wrappers.
Public material on the company is thin. A third-party voice AI directory reproduces the website's feature and use-case descriptions; its listing metadata (founding year 2010, location São José, Santa Catarina, Brazil) is inconsistent with anything on the company's own site and is not corroborated elsewhere.
Business model
Business-to-business software: Trace supplies AI agents that financial institutions deploy into their customer support operations, integrating with internal systems through secure APIs, with the option of hosting inside the customer's own cloud environment. Specific pricing or contract structures are not disclosed in the available sources.
Traction
Publicly available evidence of traction is limited to the company's own claims of 95% first contact resolution and sub-0.2-second latency, plus website testimonials attributed to a former bank branch manager and the CEO of ING Lease. No customer counts, revenue figures or contract disclosures appear in the sources.
Latest developments
The company website states that it is backed by Y Combinator and promotes multilingual agent deployment, noting the ability to build its "Tracy" agent in any requested language.
▸Full profile — market position, technology, go-to-market, geography, risks & controversies
Market position
Positioned as a vertical, finance-specific voice AI agent provider, distinguished from horizontal chatbots and generic LLM-based assistants; a voice AI product directory categorizes it under the finance and insurance verticals alongside other voice AI tools.
The stated differentiators are action completion inside the institution's systems rather than instructional answers, authentication-gated data access and strict policy adherence for regulated environments, private hosting in the customer's cloud, multilingual deployment, and low-latency conversational behavior that permits user interruption.
Technology
Voice-first conversational AI agents that connect to institutional systems through secure APIs to complete tasks end to end, with authentication gating before any user data is accessed and policy constraints to keep the agent on topic. The site cites sub-0.2-second time to first token for low-latency voice interaction, natural handling of interruptions rather than scripted turn-taking, multilingual generation, and private deployment within the customer's existing cloud provider. The company describes the system as built on research intended to outperform conventional chatbots and thin LLM wrappers, without detailing the underlying models.
Go-to-market
Direct inbound motion from the company website, which centers on a "Sign Up for Live Demo" call to action and invites prospects to email the company with their specific use cases. Marketing emphasizes prebuilt financial workflows for the most common call types, with customization for institution-specific requests. Testimonials on the site are attributed to a former branch manager and to the CEO of ING Lease.
Fintech companies, banks and insurance companies that operate high-volume customer support lines and handle requests such as card issuance and replacement, transaction queries, fraud and complaint intake, and account lockouts.
Geography
Not established by reliable sources. A third-party directory lists São José, Santa Catarina, Brazil, but this is uncorroborated and conflicts with the absence of any location on the company's own site.
Risks & controversies
Several widely indexed sources describe unrelated companies that share the Trace name — an AI workflow orchestration startup at trace.so, a Brazilian cross-border payments and stablecoin infrastructure firm called Trace Finance, and an augmented reality tooling company — creating a substantial risk of misattributed funding and location data. A voice AI directory entry for tracetec.co itself carries a founding year and Brazilian location that are not supported by the company's own materials. Performance figures such as 95% first contact resolution are self-reported and not independently verified.
Compiled by commissioned research from 8 cited public sources — announcements, filings, and press listed under research sources below.
Key figures
latest reportedCompany-reported or press-reported figures, each dated to when it was claimed — not independently audited.
Founder mafia
2 people who came through Trace went on to found or lead other companies.
In the news
▸Research sources · 8
primary sources listed
- Tracetracetec.co · web
8 public sources were cited for this profile; the first-party ones are listed here.
Frequently asked questions
- What does Trace do?
- Trace (tracetec.co) builds AI voice agents that securely execute customer service tasks for fintechs, banks and insurers.
- Who founded Trace?
- Trace was founded by Yash Vardhan Pansari, Saner Cakir, Kayla Lee.
- Who are Trace's investors?
- Trace's investors include GMO VenturePartners, Coinbase Ventures, CoinFund, Goodwater Capital, Jump Capital, Paxos, Transpose Platform Management, Wefunder and 2 more.





