Unstructured content and human expertise have never been held to the same quality standards as structured data. Until now, companies lacked the tools to clean and manage this knowledge at scale. Failure and hallucinations in mission-critical AI, is not acceptable.
Clean Up the Noise, Surface the Signals.
Data Quality for AI
Improve your signal-to-noise ratio. Automatically.
AI needs quality data and clear context to work at scale. Connected systems continuously analyze structured data, unstructured content, and human expertise to surface the strongest signals. Knowledge health tools help you find and fix the noise, so your AI delivers better results.
Get Technical: Role of Key Data Types for Mission Critical AI
Mission Critical AI Needs Strong Data Quality
Enterprise Intelligence Unifies 3 Data Types
Building context for Mission-Critical AI requires the combination of all 3 main data types. Connecting systems of record to the Enterprise Intelligence Engine™ provides tools to clean up and amplify signals from across the data.
Structured Data: Connect AI Agents from structured data systems to gain context about concepts, ideas and to see how the data is used when reported.
Unstructured Data: Connect systems of record to clean and organize documents, files, communications, media to reduce noise and amplify signals that matter.
Human Expertise: Capture human expertise through conversation records, meeting recordings, messaging apps into summaries that are stored in memory and used to provide supporting context.
Achieve Your Productivity Goals with Data Readiness Tools
Harness the power of data integrations and real-time data health tools to curate precise, relevant knowledge in Bloomfire. This enhances the effectiveness of search and large language models to bolster productivity and build deeper trust in accuracy and security.
Centralize Unstructured Data
Curate, deep-index, and sync content and resources across your tech stack with Enterprise Search integrations.
Build Your Information Architecture
Auto-tag your data, create a flexible taxonomy, and curate collections of content.
Audit Your Data
Use robust analytics and AI to identify knowledge gaps and redundant, outdated, and trivial information.
Certify Knowledge for AI
Create data readiness for your business by building a trusted knowledge base for your Enterprise AI.
64
%
of Bloomfire customers report they can make more and better data-driven decisions because they leverage Bloomfire
87
%
of Bloomfire customers have improved their knowledge governance to protect themselves against security risks
90
%
of customers report that team member save an average of one hour per week
Built for IT to Validate, Not Just Trust
IT doesn’t have to take the audit on faith. See how source connections and permissions actually work, or pull data quality findings programmatically instead of reading them off a report.
See How Connections Work →Frequently Asked Questions
You get a health grade and a numeric score from a 25-part audit that covers every document, dataset, conversation record, and media file you’ve connected. Focus areas are named, and the report carries a full evidence section behind the findings.
Data quality is measured across the whole knowledge ecosystem since a duplicate needs a pair and a gap is a topic nothing defines. Bloomfire reports duplication, coverage, staleness, drift, fragility, findability, and expertise concentration, so the data quality metrics come with the evidence behind them rather than as a bare score.
Retrieval-based tools have no way to tell a current, authoritative document from a stale or contradicted one so they pull what looks relevant and let the model narrate it. Redundancy, contradiction, gaps, and staleness in the underlying content flow straight into the answer, and none of them are visible from inside a single query.
Bloomfire reads and understands the entire connected ecosystem up front, which is what makes comparison across sources possible at all. Duplicate pairs and contradictory guidance are reported together with the documents involved.
That’s the situation the audit exists for. At a large, matrixed organization, the volume and the disconnection are what make manual reviews impossible to start. It runs automatically across everything connected and returns a ranked action plan ordered by urgency and risk.
Yes. Bloomfire is SOC 2 Type II compliant, source-system permissions are inherited rather than rebuilt, and your content is never used to train or fine-tune a generative model. Many of our customers work in highly regulated industries, including healthcare, financial services, banking, and government.
Build your knowledge ecosystem
Connect knowledge pools of documents, conversations, media, data, and expertise with your Persistent Semantic Memory™ to ground your AI. Use our turn-key of connectors or build your own to connect to any enterprise systems.
Sign up for Innovation
The pace of innovation with AI is accelerating. Join an alpha group for early access to new turnkey Intelligence Modules, and help shape what comes next.