Altara
Altara builds custom AI agents that turn fragmented scientific and engineering data into actionable R&D intelligence.
Overview
Altara: AI Agents for Scientific and Engineering R&D
Altara builds custom AI agents for the physical sciences — the R&D-through-manufacturing workflows that generate fragmented, hard-to-use data like wafer maps, SEM images, sensor time-series, and research documents. It unifies that data in place, without forcing a migration, and runs agents that automate scientific and engineering tasks such as experimental design, yield analysis, anomaly detection, and failure analysis.
In domains where critical data is scattered across instruments and formats, Altara aims to turn it into intelligence engineers and scientists can act on.
Key Features
- Agentic automation for scientific and engineering tasks
- Unified context across fragmented data systems
- In-place integration with no data migration
- Pre-built workflows for design, yield, anomaly, and failure analysis
- SOC 2 Type II security
- Self-hosted or Altara Cloud deployment
Ideal Use Case
Altara fits R&D, engineering, and manufacturing teams in the physical sciences — semiconductors, hardware, materials — whose data is fragmented across instruments and systems. It suits organizations that want to accelerate analysis without first consolidating all of their data.
How Altara differentiates
Altara focuses on the physical sciences specifically, unifying instrument and research data in place and running purpose-built R&D agents on top. It raised a $7M seed led by Greylock, with angels including Jeff Dean, founded by Eva Tuecke and Catherine Yeo.
FAQ
What is Altara? A platform of custom AI agents that turn fragmented scientific and engineering data into R&D intelligence.
Who is it for? R&D, engineering, and manufacturing teams in the physical sciences.
Does it require data migration? No — Altara integrates in place across existing systems.
Who backs Altara? A $7M seed led by Greylock, with angels including Jeff Dean.
tl;dr
Altara builds custom AI agents that turn fragmented scientific and engineering data into actionable R&D intelligence, backed by a $7M Greylock seed with angels including Jeff Dean.
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FAQ
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