Atira
by Atira GmbH
AI agents that turn industrial RFQs and tenders into priced, compliant bids
Atira is a Munich-based AI platform that automates industrial sales engineering — the work of turning a customer RFQ or tender into a technically viable, compliant, priced bid. It reads inbound specification documents, extracts and classifies requirements, flags specs the manufacturer cannot meet, and generates configuration proposals and technical documentation, writing results back into existing CRM, ERP and CPQ systems.
Atira is a German AI platform that automates industrial sales engineering — the work of turning a customer's request for quotation into a technically viable, compliant, priced bid. It was incorporated in Munich in November 2024 by CEO Florian Diegruber, previously a commercial lead at Palantir, and CTO August DuMont Schütte, previously a machine-learning engineer at Google. The product launched commercially in November 2025 and the company reported roughly 15 production customers by September 2026, five of them with more than 100 users each. Atira ingests inbound RFQs, tenders and specification documents — customer AGO Energie cites tenders running to 2,500 pages — and runs a chain of purpose-built agents over them: requirement extraction and classification with pre-comments drawn from internal product knowledge, red-flag detection for specifications the company cannot fulfil, a technical-questionnaire agent that answers from internal rules and guardrails, bid/no-bid scoring, norms-and-standards compliance reporting, commercial and legal feasibility analysis, and CPQ configuration using either the customer's own configurator or Atira's rule engine. Output is written back into existing CRM, ERP and CPQ systems, and agents can escalate to named human experts over Microsoft Teams when tacit knowledge is required. The company sizes global sales-engineering labour spending at more than $128 billion a year. Published customer outcomes include ROBEL Railway Construction saving 95 hours per quotation and CHIRON Group processing inbound requests 80% faster; other named users include ABB E-mobility, REMA TIP TOP, Theegarten-Pactec and Fette Compacting. Atira has raised $17.5 million: a $15 million seed led by Accel announced 3 September 2026, plus a previously undisclosed $2.5 million pre-seed.
The VP of Sales or Head of Sales Engineering at a discrete manufacturer whose quoting cycle is bottlenecked by engineers reading 200-page specifications by hand before anyone can price a bid.
Inbound RFQ-to-bid turnaround compressed by up to 80%, with requirement extraction, red-flag detection and configuration written straight back into the existing CRM/ERP/CPQ stack.
At a Glance
- Category
- Marketing & Sales
- Pricing
- Contact for pricing, Subscription
- Target Market
- CIOs, CTOs, VP Sales, Heads of Sales Engineering, Enterprise Developers
- Deployment
- Cloud-first
- Founded
- 2024
- Headquarters
- Gräfelfing (Munich), Germany
- Team Size
- 11-50
- Customers
- ~15 production customers as of September 2026, five with 100+ users each
Key Features
- ✓Requirement extraction and classification
Parses RFQs, tenders and spec documents of any format into structured requirements, pre-commented against the manufacturer's own product knowledge.
- ✓Red-flag detection
Automatically surfaces specifications the company cannot fulfil and commercial or compliance clauses that create risk before bid effort is spent.
- ✓Bid/no-bid agent
Scores new inbound opportunities for go/no-go so engineering hours are only committed to bids the company can actually win.
- ✓Technical questionnaire agent
Answers customer questionnaires from internal rules and guardrails, escalating to named human experts over Microsoft Teams for tacit knowledge.
- ✓CPQ configuration and pricing
Configures and prices solutions using either the customer's existing configurator or Atira's own rule engine, keeping pricing logic in one place.
- ✓Agnostic system writeback
Pushes structured results back into existing CRM, ERP and CPQ systems so no one re-keys data between the bid tool and the record system.
- ✓Norms and standards reporting
Generates industry compliance reports, checklists and traceability matrices that tender submissions typically require as formal evidence.
Capabilities
Use Cases
- •Large public tender response
An energy contractor receives a 2,500-page tender; agents extract every requirement, flag unmeetable specs and draft the compliance matrix.
- •Railway equipment quotation
ROBEL Railway Construction reports saving roughly 95 hours per quotation by automating specification review and bid document assembly.
- •High-volume inbound triage
CHIRON Group processes inbound requests about 80% faster, letting a fixed sales engineering team cover far more opportunities.
- •Institutional knowledge capture
Historical project archives and past bids become a searchable knowledge base, reducing dependence on a handful of veteran engineers.
- •Pipeline analytics for sales leadership
A dashboard tracks inbound requirement trends and bid outcomes so leadership sees which specification patterns the company keeps losing on.
Ideal For
Best For
- ✓Machinery and equipment makers answering high-volume, highly technical RFQs and public tenders
- ✓Sales engineering teams triaging bid/no-bid decisions before committing engineering hours to a quote
- ✓Compliance-heavy bids where norms and standards conformance must be evidenced in a traceability matrix
- ✓Manufacturers whose quoting knowledge sits in the heads of a few senior engineers and in past project archives
- ✓Organisations with an existing CPQ or configurator that need requirements fed into it automatically rather than replaced
Not Ideal For
- ✗Companies with simple catalogue-based pricing — a standard CPQ or e-commerce quoting tool is cheaper and sufficient without agentic document parsing
- ✗Teams wanting a fully autonomous quoting robot: the CEO states each agent needs its own front end, source transparency and human confirmation of every answer
- ✗Buyers who require public reference ratings before purchase — Atira has no G2, Capterra, TrustRadius, Hacker News or Product Hunt presence as of September 2026
- ✗Small vendors needing published list pricing or self-serve onboarding, since Atira sells enterprise deals with no public price and roughly 15 staff to support them
Deployment
Market & Ratings
~15 production customers as of September 2026, five with 100+ users each
Market Analysis
Pros
- ✓Deep vertical focus on a genuinely expensive bottleneck — Atira sizes industrial sales engineering labour at $128B+ annually
- ✓Named, quantified reference customers across several industries: ROBEL (95 hours saved per quotation), CHIRON Group (80% faster inbound processing), ABB E-mobility, Fette Compacting
- ✓Integrates into the existing CRM/ERP/CPQ stack with agnostic writeback rather than demanding a rip-and-replace
- ✓ISO 27001 certified with no model training on customer data — the baseline European industrials ask for first
Cons
- ✗Zero independent review coverage: no G2, Capterra, TrustRadius, Hacker News or Product Hunt presence, so every efficiency figure traces back to vendor-published case studies
- ✗The CEO concedes agents cannot simply be deployed and left alone — each agent type needs its own front end, source transparency and human confirmation of every answer, which is real change-management cost
- ✗Very young and very small: incorporated November 2024, commercially live only since November 2025, roughly 15 employees supporting ~15 enterprise accounts — concentration and support-depth risk
- ✗No published pricing, no free trial and no self-serve path, so evaluation requires a sales cycle before any cost can be modelled
- ✗Startbase's coverage notes the decisive factor will be how deeply the platform integrates into existing corporate structures — integration depth is the unproven variable, not the AI
Pricing
Enterprise
Contact for pricing
- ✓Multi-agent RFQ and tender processing
- ✓CRM / ERP / CPQ writeback
- ✓Analytics dashboard
- ✓Enterprise-grade deployment options
No list pricing is published anywhere on atira.ai or in launch coverage; Atira sells enterprise agreements through a direct sales motion with no free tier and no self-serve trial. Deployment scale is described in seats — five of roughly 15 customers exceed 100 users each — which suggests per-user or per-deployment commercial terms rather than per-document metering, but the vendor has not confirmed the metering basis publicly.
Security & Compliance
Sources
This page was written from 4 sources, 3 on domains other than atira.ai.
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