Company profile
Ethara
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Ethara.AI operates at the frontier of AGI training. We design reinforcement learning environments, feedback systems, and evaluation pipelines that bridge ...
2020
1-10
AI Classification
Ethara AI is an India-based AI research and infrastructure company that builds the Human Intelligence Layer for frontier AI models via RLHF, SFT, evaluations, and scalable RL environments for agentic systems. They serve global frontier AI labs and enterprise partners building next-generation intelligent agents.
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Ethara is one of 2,671 B2B companies in the Kustiq directory.
Ethara 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 Ethara vs No code browser automation & web scraping side by side.
Both sit in the 1-10 headcount band. See Ethara vs AdPlexity side by side.
Both sit in the 1-10 headcount band, and Serverless AI infrastructure | Cerebrium was founded in 2021, 1 year after Ethara. See Ethara vs Serverless AI infrastructure | Cerebrium side by side.
How Ethara compares with other AI/ML Platform companies
Ethara 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.
Ethara 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%). Ethara 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. Ethara was founded in 2020.
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 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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