Every.io · Jun 2026
Profile of Levi Lian and Raycaster’s product vision for document intelligence in regulatory and clinical workflows.
Company research
Public company, workplace, funding, and market signals
Overview
Raycaster is an AI-native document workspace for biopharma and other regulated life-sciences teams, focused on reviewing, revising, and keeping regulated documents in sync with the underlying science and source evidence.
Primary product
AI workspace and document editor for biopharma/regulatory documents
Founded
2024
Headquarters
New York, New York, United States
Team size
1-10
Industry
Technology, Information and Internet
Sub-industry
AI document workspace / regulated document management for biopharma
Offices
New York, NY, US
United States and India (distributed workforce)
Business model
B2B SaaS
enterprise subscriptions
private evaluation services
custom data/environment building
subject-matter-expert contribution model
Funding
Stage
pre-seed
Total raised
$500K
Latest round
Pre-Seed · Dec 2024
Latest amount
$500K
People & investors
Work & culture
No explicit public culture or benefits page was provided; public materials emphasize high-stakes, evidence-based work, rigorous evaluations, and shipping reliable systems for regulated workflows.
Compensation
Public job listings show Founding Engineer compensation of $100K-$160K plus 2%-10% equity, and Founding GTM compensation of $100K-$500K plus 0.5%-4% equity; contractor/hourly specialist roles are also listed around $40-$130/hr.
Product & market
Pricing
Not publicly disclosed; appears to be enterprise/B2B SaaS with custom evaluation and services-led engagement.
Differentiators
- —Project-level drafting and revision across hundreds of regulated documents
- —Document dependency graph / change-aware workspace to prevent contradictions
- —Evidence-based review with citations and traceable artifacts
- —Inline redlines and approval-before-merge workflow
- —Built for regulated work rather than chat-only document interaction
- —Benchmark/evaluation framework for high-stakes AI tasks
- —Private workspaces and no foundation-model training on customer content
Technology
React
Go
Python
TypeScript
Git
GitHub
Microsoft Word
Veeva Vault
Jira
MasterControl
Benchling
ServiceNow
Zoom
Vercel
AWS
Microsoft Azure
Google Cloud
Clever
Agilent
IQVIA
Customers
biopharma teams
life sciences teams
regulatory teams
CMC teams
quality teams
clinical teams
medical writing teams
technical operations teams
CROs
CDMOs
instrument vendors
Competitors
Veeva
MasterControl
Benchling
Harvey
Hebbia
Sales Navigator
ZoomInfo
D&B Hoovers
Apollo
Demandbase One
Scale & contact
Estimated revenue
<$5M
Estimated monthly visits
2.2K
Traffic estimate as of Jul 2026
Latest news
Raycaster blog · May 2026
Raycaster discusses market shifts in technical document review and early-signal intelligence across industrial and data-center workflows.
Raycaster blog · May 2026
Raycaster describes lessons from building document agents and running rigorous evaluations for complex professional tasks.
LinkedIn · Apr 2026
The company posted research claiming Gemini 3 Flash achieved state-of-the-art results on OfficeQA Pro at materially lower cost.
Y Combinator · Nov 2024
YC company page and launch material describing Raycaster as an AI document workspace for regulated life-sciences content.
Jobs and careers at Raycaster
0 jobs at Raycaster
No open positions
Check back later for new openings