Ask Anything About Your Enterprise Data
Example questions you can ask ProCertus: Why are my customers churning? Which customers are at risk of churning? Are my development projects on time? What is my manufacturing defect rate in Q2? When does my business insurance expire? Who are my top 10 customers by revenue and margin in Q1? Which products should I increase my investment in next year? Which products should I end of life and why? What are my top 10 severity 2 bugs based on customer complaints? Should I consider expanding my business into EMEA?
Accuracy
Insights You Can Trust
LLMs can be amazingly accurate if provided the right context. The challenge is finding the relevant data and structuring the context so the LLM is grounded and can correctly reason over the provided information.
PROCERTUS’ intelligence layer is designed for exactly this.
Utilizing a highly advanced and novel graph, PROCERTUS’ intelligence layer retrieves the most relevant data at query time enabling the LLM to deliver the most accurate answer possible. PROCERTUS excels at simple fact based queries as well as complex, multi data source queries which require advanced reasoning.
PROCERTUS advancements include:
- Response personalization based on user persona
- Support for corporate jargon
- Hallucination detection technology
- Graph reinforcement via feedback
- Smart caching for answer consistency (determinism)
- Graph retrieval
The most relevant data, selected at query time.
- Hallucination checkConfidenceBest
A confidence level attached to every answer.
- Answer
Fourteen accounts cross the risk threshold, ranked by contract value.
confidenceBest
Asked again elsewhere in the org — the same answer, served from cache.
Enterprise Scale
Scales Across Your Enterprise Corpus
Complex structured, unstructured and semi-structured data handled at volume and connected where it already lives.
A highly scalable graph structure
Not all graphs are equal and PROCERTUS is the proof. PROCERTUS’ graph structure was designed for enterprise scale, with the ability to accommodate terabytes to petabytes of data.
Secure semantic connectors
Our secure semantic connectors lets your data stay where it already lives — whether it be in an existing operational system or data warehouse or lake. Our connectors are zero copy, with our graph structure only storing a representation of the data and not the data itself. Data is only copied during query time and discarded after answer generation (zero data retention with the exception of cached answers).
A representation of your data — never the data itself.
Copied only at query time, discarded after the answer — nothing retained but cached answers.
Governance
Enterprise Level Governance & Control
PROCERTUS operates as an isolation layer between your data and the LLM, ensuring your data is fully protected
Deployment features include:
- Every response includes provenance and confidence score for answer verification
- Support for role based access control ensuring data is not used for context unless the user has the appropriate rights
- LLM guardrails to ensure all responses remain within the business context
- Flexibility to run in the cloud or locally should you want to fully “airgap” your solution due to the highly sensitive nature of your data/IP
Stays inside your boundary — the LLM never connects to it.
Reasons over the released context alone.
Every answer returns ready for verification
provenance · confidence BestLowest TCO
Superior Economics
Enterprise level performance at a fraction of the token costs.
Cost optimized intelligence layer
PROCERTUS intelligence layer performs all the heavy lifting including graph construction, query decomposition, graph traversal, data retrieval, context optimization, hallucination detection etc. We only use your existing LLM for final answer generation, substantially reducing LLM token costs.
Additional cost benefits
Additionally we give you the ability to route the context to your preferred LLM and support smart caching resulting in zero external LLM token costs for commonly asked questions.
Frequently asked questions come straight from the smart cache — consistent, deterministic, and no LLM tokens at all.