01
AI Solution Architecture
An optimized pipeline trained and validated with 1000+ documents to develop an AI-assisted solution for requirements and specifications extraction from lengthy documents.
Requirements processing
From days of manual review to minutes of AI extraction
While meticulously analyzing massive, 50+ page engineering specifications is vital for securing new projects, relying on manual review creates severe operational bottlenecks and heightens the risk of misinterpreting critical project features.
- 100xFaster processing
- >99%Retrieval accuracy
- <1%Difference from human annotation
- <5 minTo extract a batch of documents
Your best engineers are waiting on insights buried in documents they haven’t read yet
Teams currently lose valuable time extracting hidden details, often operating in silos without transparency into previous, similar offers.
This is not an engineering failure. It is a process failure.
vetta
One engine. All specification knowledge.
vetta digests every lengthy engineering document, historical offer, and compliance standard into one rapidly automated requirements extraction pipeline. Teams can instantly cross-reference past quotes, retrieve hidden technical targets, and confidently uncover structural project risks in less than five minutes.
Three steps from lengthy documents to verified specifications
02
Inference
Feed a batch of documents with specification targets and obtain the response on the extracted information at different levels of detail in less than 5 minutes, comparing them with existing documents for insights generation.
03
Customization
Adapt the architecture to process documents with a structure and scope inherent to your business case. Develop a customer-specific pipeline for the extraction of key performance indicators of interest.
use cases
What your team
can do with it
01
rapid document triage
Summarize core requirements and route specific pages to the right engineering teams. Slashes initial review time from days to hours, preventing team fatigue before the deep analysis even begins.
02
hidden requirement extraction
Automated search and retrieval targets technical details, testing parameters, or unusual clauses that are typically overlooked. It reduces the risk of costly misinterpretations, missed features, and downstream project scope creep.
03
historical cross-referencing
Compares new requirements documents against a database of previous, similar offers to surface past quotes, margins, and technical solutions. Speeds up the drafting process of responses and insights generation.
04
automated compliance & risk flagging
Cross-checks the extracted client specifications against your company's standard production capabilities, engineering constraints, and risk tolerances.
How we deploy
Not a pilot. A permanent
operating relationship.
01
proof of concept
We fine-tune the base model with a sample of your proprietary data. Together, we test its capabilities and cross-reference results against the specific KPIs most critical to your business.
Payback in months, not years
One unified battery intelligence operating system trained on your historical document data, deployed
securely inside your own infrastructure.
100x faster extraction
minutes to first insight
instant spec retrieval