Company profile
Multimodal
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multimodal.dev · Agentic AI · Artificial Intelligence (AI) · Business Process Automation (BPA) · Enterprise Software · FinTech · InsurTech · Machine Learning.
2023
11-50
AI Classification
Multimodal builds AgentFlow, an agentic AI platform purpose-built for finance and insurance enterprises. The platform automates complex workflows using secure, compliant AI agents designed to capture institutional expertise and accelerate mission-critical financial decisions.
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Multimodal is one of 2,671 B2B companies in the Kustiq directory.
Multimodal sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: Complianceexperts, Resend · Email for developers, Cloud-based data analytics exploration for all, and Bettermode.
Both sit in the 11-50 headcount band, and Complianceexperts was founded in 2003, 20 years before Multimodal. See Multimodal vs Complianceexperts side by side.
Both sit in the 11-50 headcount band. See Multimodal vs Resend · Email for developers side by side.
Both sit in the 11-50 headcount band. See Multimodal vs Cloud-based data analytics exploration for all side by side.
How Multimodal compares with other AI/ML Platform companies
Multimodal is one of 114 AI/ML Platform companies profiled in the Kustiq DataAI directory, which holds 242 DataAI companies in total. Every number below is computed from those profiles.
Multimodal sits in the 11-50 headcount band. 23% of the 93 segment peers with a known team size are smaller. 24% of those peers share the same band.
The most common tech detections across the 32 peers with a visible stack are Next.js (47%), Vercel (44%), and Google Analytics (38%). Multimodal lists none of them.
Among the 58 segment companies with disclosed funding, Growth is the most common stage (36%).
The median founding year across 32 peers with a known founding date is 2019. Multimodal was founded in 2023.
Toronto is the most common HQ city in this segment, home to 11% of the 18 peers with a known location.
Benchmarks are recomputed from live directory data, so they move as profiles refresh. Counts cover Kustiq-profiled companies, not the whole market.
How this profile was built
- Live web rendering via Browserless headless Chrome, not a stale cached scrape.
- Search intelligence via Serper API across the company site, LinkedIn, press, and GitHub.
- Claude only picks the buckets. It never decides facts.
- 12-factor churn engine. Deterministic score, zero LLM at scoring time.
- SMTP RCPT TO handshake on every contact, at delivery time on full profiles (paid plan).
This profile was built from 1 rendered page of multimodal.dev and search coverage across the live web on .
Read the full methodology in our LLM-readable reference or compare against the deterministic-vs-AI framework.
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