- Specialization
- Speech
- Business
- Software Applications
- Market
- Financial Services
- Ecosystem
- Agents
- Customers
- Enterprises
More details
- Organization type
- Commercial Company
- Ecosystem
- Agents
- Business
- Software Applications
- Specialization
- Speech
- Market
- Financial Services
- Customers
- Enterprises
- Delivery models
- Hosted Software, API
- Revenue models
- Not classified
- Listing status
- Not classified
- Latest equity round
- Not classified
- Reported funding amount
- Not classified
About
Trace Technologies builds AI customer-service agents for fintechs, banks, and insurers. Its agents differentiate themselves from traditional chatbots by securely executing actions—such as transaction tracking, card replacement, disputes, and applications—through institutional APIs across voice, chat, and email.
Market
Trace competes in the AI customer-support and agentic automation market for fintechs, banks, and financial services, positioning itself around agents that complete end-to-end actions inside institutional systems rather than merely answering FAQs. Its differentiation is a finance-focused, multilingual, policy-compliant, low-latency experience delivered through secure APIs and voice, chat, or email, while competitors range from fintech-native action-taking platforms such as Lorikeet and Fini.ai to broader enterprise agent and chatbot platforms such as Decagon, Sierra, Ada, Kore.ai, Glean, and Rasa.
Trace targets fintechs, banks, and other financial institutions—potentially including insurers—that need to automate high-volume, policy-sensitive customer-service workflows. The likely buyers are enterprise customer-experience, contact-center, operations, and technology leaders seeking lower support costs and higher first-contact resolution; the available evidence confirms enterprise positioning but does not specify company-size thresholds or buyer titles.
At a Glance
Problem
Financial institutions still handle many customer-service requests through expensive, slow, and inconsistent call-center workflows. Generic chatbots can explain procedures, but often cannot access account data or complete the underlying task, forcing customers into self-service flows or human handoffs. Trace targets the resulting operating cost and service-quality problem, with the clearest use cases being high-volume requests such as replacing a card, disputing a charge, tracking a transaction, resolving fraud complaints, and unlocking an account.
Product / Service
Trace provides AI customer-service agents for banks, fintechs, and insurers. The agents communicate through voice, chat, or email and use secure APIs to retrieve relevant information and execute actions inside an institution’s internal systems, rather than merely describing what the customer should do. The platform is designed for multilingual interactions, policy compliance, authentication, private-cloud hosting, and low-latency voice conversations; Trace claims 95% customer satisfaction and less than 0.2 seconds to first token.
Market
Trace competes in the agentic AI and customer-service automation market for banking, fintech, and insurance. Its closest competitive set includes banking-focused platforms such as Kore.ai and Posh AI, alongside broader financial-services customer-service providers such as Kasisto, Boost.ai, Interface.ai, and Glia. Trace’s differentiation is the combination of human-like voice interaction with secure, end-to-end execution of account-specific workflows.
The company is an early-stage, Y Combinator-backed startup. Its public materials show testimonials from a former branch manager and an ING Lease CEO, while a third-party company profile says its agents handle quoting, applications, and transaction-tracking calls for partners. No reliable customer count or revenue figure appears in the evidence, so Trace should be viewed as having early validation and partner activity rather than publicly demonstrated scale; its revenue status is undisclosed, not confirmed pre-revenue.
Founders & Leadership
Funding History
Y Combinator
GMO Venture Partners, Treeo VC
Active Roles
0No active roles right now.
Get notified when they postBusiness Model
Trace appears to monetize by selling AI customer-service-agent software and related deployments to fintechs, banks, and insurers through enterprise contracts. The available evidence does not disclose whether pricing is subscription-based, usage-based, implementation-based, or another model.