Atira raises $17.5M to automate the bidding bottleneck in industrial B2B sales

Atira (Munich) has raised a $15 million seed round led by Accel, with participation from UVC Partners, Fortino, and BOOOM. The company simultaneously disclosed a previously undisclosed $2.5 million pre-seed, bringing total funding to $17.5 million (approximately €15.9 million). The seed capital goes toward growing the go-to-market team, accelerating product development, and expanding internationally.

Atira was founded in November 2024 by Florian Diegruber (CEO, formerly Siemens) and August DuMont Schütte (CTO, formerly Google ML). The angel cap table includes Marc Bitzer (Chairman and CEO, Whirlpool), Bastian Nominacher (co-founder and co-CEO, Celonis), Ann-Kristin Achleitner, and Markus Flik — a roster that covers large-scale industrial operations, enterprise software, and academic technology transfer.

The problem: a four-week quote for a two-month contract

Industrial B2B sales runs on requests for quotation. A manufacturer receiving an RFQ for custom machinery must parse the customer's specifications, configure a compliant solution against a product catalogue that may contain thousands of SKUs and custom options, price it against current materials and labour costs, and produce formal bid documentation — often in a format the customer specifies. At a company with complex configurable products, this can take an engineer several days for a single bid. Multiply across a typical pipeline and a meaningful portion of technical capacity is consumed by the commercial process rather than the product itself.

Atira's multi-agent system automates that pipeline. The platform ingests the RFQ (structured or unstructured), reasons across the product catalogue and pricing logic, generates a configured solution, and produces bid-ready documentation. The value proposition is speed and capacity: faster bids, more bids, without adding headcount to the commercial engineering function.

Why Accel moved early

Accel's decision to lead a seed in a company less than a year old reflects a read on the market timing rather than on demonstrated commercial traction. Enterprise AI adoption in manufacturing has lagged behind financial services and professional services, but the underlying workflow — high-SKU configuration, formal document generation, multi-stakeholder approval — is well-suited to multi-agent approaches. The fund's track record in European B2B software (including large exits in enterprise SaaS) gives it pattern recognition for when a workflow-specific AI product is building a real moat versus adding a layer on top of general-purpose models.

The adjacent expansion roadmap — pricing intelligence, aftersales, supplier coordination — follows the same logic: functions adjacent to the core bid workflow that require the same industrial data relationships the platform is already ingesting. At $17.5M total raised and fewer than 18 months old, the commercial proof-of-concept is still ahead of Atira. The next milestone is not another round but the conversion of pilot engagements into anchor contracts that validate the unit economics.