Company profile
Simular
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Simular AI delivers open-source, intelligent AI agents powered by leading research to automate computer tasks, streamline workflows, ...
2023
1-10
AI Classification
Simular is a research-driven AI startup founded by ex-DeepMind scientists that builds autonomous computer-use agents capable of operating desktop software, browsers, and smartphones like a human knowledge worker. Their flagship product Sai serves individuals and business operations teams seeking to automate repetitive digital workflows across applications without API dependencies.
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Competitors
Simular is one of 2,671 B2B companies in the Kustiq directory.
Simular sits among 114 ai / ml platform companies in our Data & AI directory.
Similar profiles: No code browser automation & web scraping, AdPlexity, Serverless AI infrastructure | Cerebrium, and Creators.
Both sit in the 1-10 headcount band. See Simular vs No code browser automation & web scraping side by side.
Both sit in the 1-10 headcount band. See Simular vs AdPlexity side by side.
Both sit in the 1-10 headcount band, and Serverless AI infrastructure | Cerebrium was founded in 2021, 2 years before Simular. See Simular vs Serverless AI infrastructure | Cerebrium side by side.
How Simular compares with other AI/ML Platform companies
Simular 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.
Simular sits in the 1-10 headcount band. 0% of the 93 segment peers with a known team size are smaller. 23% 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%). Simular 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. Simular 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 simular.ai 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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