LinkedIn · Jun 2026
Morph announced a partnership with Opper AI, describing Morph models as the fast apply path for coding-agent workflows and highlighting OpenAI-compatible integration.
Public company, workplace, funding, and market signals
Updated Jul 30, 2026
Morph is an AI infrastructure company for coding agents, offering an OpenAI-compatible API plus specialized models for code search, edit application, context compaction, routing, and guardrails. It emphasizes very fast code-edit merging, self-hosted/private deployments, and enterprise-grade reliability.
Primary product
Fast Apply and the broader coding-agent inference stack (models for search, edit application, compaction, routing, and reflex/guardrail classification)
Founded
2025
Headquarters
San Francisco, California, United States
Team size
1-10
Industry
Software Development
Sub-industry
AI infrastructure / developer tools for coding agents
Offices
0 jobs at Morph
Check back later for new openings
Business model
Leadership
Founder & CEO
Small, high-agency, production-first team; the hiring copy stresses being 'AI pilled,' shipping work that survives contact with production, and moving fast with strong technical ownership.
Visa sponsorship
Limited
Compensation
Public YC postings show $130K-$185K plus 1.50% equity for Senior ML Infrastructure Engineer, $90K-$140K plus commission and meaningful equity for Founding Account Executive, and $6K-$10K/month for the PhD intern role. Public job copy also says all roles include unlimited Claude Code/Codex tokens.
Benefits
Pricing
Usage-based per-token pricing with a free tier, a flat-rate Scale plan, and custom enterprise/private deployment pricing.
Differentiators
Technology
Customers
Competitors
Estimated revenue
approximately $1M ARR (third-party estimate, 2025)
Estimated monthly visits
338.5K
LinkedIn · Jun 2026
Morph announced a partnership with Opper AI, describing Morph models as the fast apply path for coding-agent workflows and highlighting OpenAI-compatible integration.
Morph blog · Jun 2026
Morph explained how it serves open-weight models efficiently for coding-agent workloads and discussed workload-tuned inference, private deployments, and scale.
Morph blog · Mar 2026
AWS featured Morph as a case study, highlighting 10,000+ tokens/sec performance, Morph's custom inference stack, and customer impact including Binance productivity gains.
Morph blog · Mar 2026
Morph launched a Fast Apply model description emphasizing 10,500 tok/s merging, 98% accuracy, OpenAI-compatible APIs, and public pricing.