Multi-step research ran one search at a time, burning tokens on extended reasoning. Astra takes fewer steps and fans work across sub-agents.
A startup building developer infrastructure for AI agents that do knowledge work over the web, with research products serving financial institutions and legal customers.
For complex, multi-step research tasks, getting high-quality results meant using bigger models with extended reasoning, which consumed more time and...
“With Astra, we've demonstrated that you can get the same high-quality research much, much faster with fewer research calls and less tokens.”
Web infrastructure APIs (search, extract, task) for AI agents.
AI research and deployment company developing generative models and tools.
Parallel's Web research is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Logs scattered across five systems, often pieced together by the wrong engineer: incidents took days. AI agents now diagnose in minutes.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Analysts spent days assembling filings and translating regional reviews. Now, AI synthesizes this data so teams can focus on strategy.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.
Multi-step research ran one search at a time, burning tokens on extended reasoning. Astra takes fewer steps and fans work across sub-agents.
A startup building developer infrastructure for AI agents that do knowledge work over the web, with research products serving financial institutions and legal customers.
For complex, multi-step research tasks, getting high-quality results meant using bigger models with extended reasoning, which consumed more time and...
“With Astra, we've demonstrated that you can get the same high-quality research much, much faster with fewer research calls and less tokens.”
Web infrastructure APIs (search, extract, task) for AI agents.
AI research and deployment company developing generative models and tools.
Parallel's Web research is part of this use case:
Related implementations across industries and use cases
Similarity search mixed up Q3 and Q4 earnings. Hybrid AI now anchors retrieval with keywords and learns from human fixes instantly.
Logs scattered across five systems, often pieced together by the wrong engineer: incidents took days. AI agents now diagnose in minutes.
Feature requests once sat in backlogs. Now, developers let AI generate working preview branches in minutes for real-time customer review.
Analysts spent days assembling filings and translating regional reviews. Now, AI synthesizes this data so teams can focus on strategy.
Manually parsing thousands of documents slowed analysts. Now, a custom AI research engine synthesizes traceable market insights in hours.
Scattered data and basic coding tools bottlenecked engineers. A 9-agent AI workflow shifts them from writing code to directing AI teams.
Sequential AI testing bottlenecked development. Engineers built a concurrent, code-first pipeline to evaluate agent responses in seconds.
Tournaments running simultaneously meant an hour of manual checks each. AI agents now run them in minutes, freeing the team to be proactive.
Large AI training jobs meant fighting for preemptible slots or leaving campus. Marlowe gave any lab guaranteed multi-node access on demand.