Maya Labs blog · Mar 2023
Research-preview release of PAC-1, Maya's first-generation program-synthesis engine, which assembles discrete program graphs from English instructions and deploys them on Maya worker compute.
Public company, workplace, funding, and market signals
Maya Labs is a Bengaluru-based applied research lab building self-programming machines and natural-language software automation. Its primary product is PAC-1, a program-synthesis engine that turns English instructions into deployable, interpretable flow-based programs for internal tools and automation.
Primary product
PAC-1
Founded
2020
Headquarters
Bengaluru, Karnataka, India
Team size
1-10
Industry
Software Development
Sub-industry
Program synthesis / workflow automation
Offices
5 jobs at Maya Labs
Business model
Stage
Seed
Total raised
$840K
Latest round
Seed · Aug 2022
Latest amount
$500K
Investors
Mission-driven, research-heavy, and very small team oriented around hard program-synthesis problems and interpretable AI. Public messaging emphasizes problem-solving, rapid iteration, and building machines that can program themselves.
Compensation
Public compensation data is sparse. Levels.fyi reports a software-engineer total compensation range in India of about ₹2.97M–₹4.16M+ per year, with a median around ₹2.97M.
Pricing
Not publicly disclosed.
Differentiators
Technology
Customers
Competitors
Estimated revenue
Under ₹10 Cr (Tracxn) / about $1M-$10M (Levels.fyi)
Estimated monthly visits
903
Maya Labs blog · Mar 2023
Research-preview release of PAC-1, Maya's first-generation program-synthesis engine, which assembles discrete program graphs from English instructions and deploys them on Maya worker compute.
Y Combinator · Sep 2022
Launch post describing Maya as a natural-language way to build internal tools and workflows; it highlights integrations such as SQL, Google Sheets, Notion, and Airtable and the ability to deploy changes from English instructions.
Maya Labs blog · Nov 2021
Introduces the g-index benchmark and related toy environments for measuring how well systems generalize across program-synthesis tasks.
Maya Labs blog · Dec 2020
Early mission post explaining the company's approach, product direction, and recruiting message for engineers interested in the work.