Introduction
Send is headquartered in London, United Kingdom founded in 2017 and is covered in Brel’s AI in Insurance sector. Leadership referenced in company materials includes Andy Ward.
Public company materials describe the firm as building AI software for insurance workflows. Brel’s working summary of the product scope: Provides an AI-powered underwriting workbench solution designed to optimize commercial workflows.
This profile uses only company-linked sources captured during the 2026-07-10 import review. Funding, valuation, headcount, and ranking claims from third-party listicles are omitted unless a company-specific URL in the source list supports them.
What the company does
Send positions its product around the following use case: Automating ingestion and semantic processing of multi-format risk submission documents. Secondary focus noted in research intake: Underwriting Workbench.
Buyers should treat vendor marketing claims as unverified until confirmed in a live evaluation against their own data, compliance, and integration requirements.
Who it serves
Stated buyers and users include: Commercial insurance underwriters
Procurement teams should confirm whether the deployment model (SaaS, on-prem, hybrid) and data-residency options match their sector obligations before pilot expansion.
Company background
Send operates from London, United Kingdom. Company materials cite 2017 as the founding year. Andy Ward is listed as founder or CEO in the intake sources used for this profile.
Brel does not infer prior employers, investor syndicates, or competitive rankings without a company-specific citation.
Product and AI capabilities
Within Insurance AI, Send concentrates on: Automating ingestion and semantic processing of multi-format risk submission documents.
Exact model architecture, training data rights, and evaluation harnesses are rarely fully disclosed on marketing pages — request technical documentation during vendor diligence.
Key developments
Recent development noted in intake (verify on the linked company page before citing externally): Deployed deep text parsing engines to extract key submission parameters seamlessly.
Why it matters
Send matters for Brel readers tracking Insurance AI because it represents an active vendor in this category with a verifiable public website and company-linked documentation. Its stated focus — Automating ingestion and semantic processing of multi-format risk submission documents. — is a concrete buying motion teams can compare against peers in the same sector hub.
Use the AI in Insurance hub to compare adjacent profiles; do not treat directory presence as an endorsement.
Sector context
Send is filed under Brel’s AI in Insurance coverage, with secondary theme Underwriting Workbench. Country taxonomy reflects headquarters (United Kingdom), not customer geography.
Sources and references
Primary references used for this profile:
- Send — official source — https://send.technology/platform
- Send — supporting company page — https://send.technology/about
Last reviewed 2026-07-10. Request a correction via the form linked on this page if a fact is outdated.