Purpose-built AI agents for Travel & Expense, powered by trusted data. A digital workforce for a market that still runs on spreadsheets.
Corporate travel is one of the largest line items most companies never truly control. Booking data lives with the travel management company. Charges land on corporate cards. Reimbursements arrive through an expense tool. Contracts sit in a folder. By the time finance stitches it together, the trip is a memory and the money is spent. Cerebri AI, a data-engineering and artificial-intelligence company headquartered in Austin, Texas, has spent years attacking that fragmentation - first by cleaning up the data, and now by putting autonomous agents on top of it.
Founded in 2016 by Jean Belanger and Steve Harter, Cerebri AI did not start in travel at all. Its first product, Cerebri Values, tried to distill a customer's entire relationship with a brand into a single number - a machine-learning read on loyalty and commitment, sold largely to financial-services and automotive teams. The idea was clever. The market was hard. So the company did the thing many talk about and few execute cleanly: it pivoted, carrying its data-science muscle into a problem where messy, multi-source data was the whole point.
That problem was corporate travel and expense - "T&E" in the trade. Cerebri AI reoriented around a platform it calls Cerebri AIQ, which lets travel managers slice program data across more than fifteen dimensions to find leakage, manage budgets in near real time, and negotiate harder with airlines, hotels, and car-rental suppliers. Underneath sits the AIQ Data Foundry, a "finance-grade" foundation that reconciles TMC bookings, card transactions, expense reports, and HR and ERP records into one trustworthy source.
The bet running through all of it is unglamorous and, in the current AI moment, slightly contrarian: build the plumbing first. An agent that hallucinates a discount or misreads a contract is worse than no agent at all when the reader is a CFO. Cerebri AI's answer is to measure and report the return on investment of every action its software takes - receipts, not promises.
Cerebri AI is not chasing a niche. It is chasing the parts of enterprise spend that are biggest and least automated.
Bars scaled relative to the $15T indirect-procurement figure. Market sizes as described by Cerebri AI.
Every corporate trip generates data in at least four disconnected systems. The costs a company actually cares about - what a single trip really cost, whether an airfare honored a negotiated rate, how much carbon it produced - fall through the cracks between them.
Cerebri AI's thesis is that you cannot automate what you cannot trust, and you cannot trust data you have not reconciled. Reconcile first; then let agents run hotel RFPs, catch off-contract bookings, and roll trip costs into one consistent view. The upside is leakage recovered and headcount not added.
Cerebri AI describes its agents as "digital employees" - software that reasons, uses tools, calls APIs, and manages multi-day tasks, rather than a chatbot that answers and stops.
The industry's first "digital employee" workforce for corporate travel and indirect procurement. Agents reason, determine tasks, browse the web, call APIs, and report ROI on every action.
2026A unified, finance-grade data foundation that integrates TMC, corporate card, expense, and HR/ERP data into a single, trustworthy source.
2024SaaS data-engineering and AI-modeling platform to slice travel and meetings data across 15+ dimensions for real-time budgets and program insight.
2021Verifies that employee airfares are booked at contracted discount rates - in real time - and reports the savings captured.
2026Automates the end-to-end transient hotel RFP process to source, evaluate, and optimize accommodations.
2026Aligns travel and related spending into consistently defined "trips" across TMC spend, card transactions, and expense reports.
2026Audits contracts and policies for negotiated terms and compliance across the T&E ecosystem.
2026Carbon-emissions tracking and sustainable-travel analytics for ESG and DEI reporting inside the data layer, not bolted on top.
2022Tailored implementations for enterprises and TMCs that need agents and analytics fit to their own stack.
-Cerebri AI's software is aimed at the teams closest to travel and procurement budgets:
It also sells the data layer itself: BizTrip.AI's agentic corporate-travel product now draws on historical T&E data sourced from Cerebri AI - a reminder that in an AI gold rush, supplying the maps can be as valuable as digging.
Most travel-tech tools recommend and leave the doing to a human. Cerebri AI's agents run the task, and each action is measured against ROI - a deliberate answer to finance teams who cannot afford a confident-but-wrong AI. The finance-grade data foundation is the quiet differentiator that makes autonomy safe enough to sell.
Began at PwC, moved through investment banking, and started a venture fund before running programming-tools maker Metrowerks - which he took public before Motorola acquired it, where he then led business development for the semiconductor unit.
Co-founded Cerebri AI in 2016, helping shape the company's data-science approach - from the early Cerebri Values customer metric to today's AIQ Data Foundry and agent framework.
Cerebri AI licenses its AIQ platform and CAI Agents to large travel programs, procurement and finance teams, and TMCs - typically on subscription - and supplies its historical T&E data sets to partners such as BizTrip.AI, plus custom implementations.
A decade of work in machine learning, multi-source data reconciliation, and data-quality assurance - now channeled into agentic AI for the specific, unglamorous mechanics of corporate travel and procurement.
Backed by Austin's accelerator scene and specialist AI investors. Estimates vary by database; figures below reflect publicly reported rounds.
~$3.3M · 2016
Capital Factory, AI Venture Labs
Undisclosed · 2017-18
Microsoft Accelerator, WorldQuant Ventures
~$7M · Dec 2019
Arcis Capital, WorldQuant, Quartus Capital
Jean Belanger and Steve Harter launch Cerebri AI around Cerebri Values, an AI metric quantifying customer commitment to a brand.
The company joins Microsoft's accelerator program and raises Series A capital to scale its customer-intelligence platform.
Cerebri AI closes a roughly $7M Series B in December, pushing total funding above $19M.
The company reorients around Cerebri AIQ, a data-engineering and AI platform for corporate travel and meetings programs.
Cerebri AI introduces carbon and sustainability analytics for corporate travel programs.
A finance-grade data foundation unifies TMC, card, expense, and HR/ERP data into one source.
BizTrip.AI adds historical T&E data sourced from Cerebri AI to its agentic corporate-travel product.
Cerebri AI launches the industry's first "digital employee" agentic workforce for travel and indirect procurement.
The name plays on "cerebral" - fitting for a company that began by trying to quantify a customer's emotional commitment to a brand as a single number.
CEO Jean Belanger took a programming-tools company public and sold it to Motorola before many founders finish their first startup.
Cerebri AI internally describes its agent suite as a "Swiss Army knife" of AI agents for travel and procurement.
It is chasing two of the largest, least-automated buckets in the enterprise at once: $1.5T in corporate travel and roughly $15T in indirect procurement.
Interviews, demos, and coverage of Cerebri AI's move into corporate travel. Links open on the publisher or platform.
It builds purpose-built AI agents and data platforms that automate corporate travel, expense, and indirect procurement - unifying fragmented data and running tasks like hotel RFPs, air-contract compliance, and spend reconciliation while reporting ROI.
It was founded in 2016 in Austin, Texas by Jean Belanger (CEO) and Steve Harter.
CAI Agents are "digital employees" - autonomous AI agents that reason, call APIs, browse the web, and manage multi-day corporate-travel and procurement tasks, going beyond simple chatbots.
More than $19M across seed, Series A, and a roughly $7M Series B closed in December 2019. Some databases estimate higher totals.
Rather than only recommending actions, its agents execute them autonomously on top of a finance-grade data foundation - and it measures and reports ROI on every action so finance teams can trust the output.