Data curation for AI agents
Transform all enterprise data sources into curated, domain-specific knowledge collections so teams and agents can deliver trustworthy, contextual and complete outcomes at lower costs.
Emails
Calls
Documents
Messages
Testimonials
Notes
Surveys
Agent logs
Flexor transforms enterprise unstructured data like emails, PDFs, calls and chats into clean, unified, contextualized, AI-ready data with ACE (AI Context Engine), ensuring that every AI system operates on the data that’s relevant to your business.
THE PROBLEM
Fragmented data access creates unreliable and incomplete AI outputs
AI delivers its greatest value when agents can operate on internal business knowledge. But simply connecting them to Google Drive, Box, SharePoint, chats, emails, call transcripts, and shared folders produces incomplete context, inconsistent outputs, and hallucinations.
- Conflicting or duplicate documents
- Noisy and outdated information
- Lack of understanding of domain terminology & business processes
- Security and access-control complexity
- Slow retrieval and higher compute costs
The Solution
Flexor gives every agent the context it needs to perform its job accurately
Unified enterprise ingestion
All your knowledge, one ingestion layer
Flexor ingests content from shared drives, Box, Google Drive, SharePoint, chats, emails, call transcripts, ticketing systems, and internal repositories, into a unified context layer ready for your data store and for AI consumption.
For example, a single customer issue might be documented across a support ticket, an email thread, a Slack conversation, and a call transcript. Flexor curates all four sources into a single picture.
AI agents draw on the full breadth of enterprise knowledge
Reduced compute waste by eliminating repeated searches across disconnected systems
Relevance-based selection
Only what each agent actually needs
Flexor identifies which content matters for each agent, filtering the full corpus down to the subset of knowledge that will genuinely improve that agent’s performance.
For example, a database of 100 contracts is evaluated against a single rule: is this contract expiring within the next three months? 90 contracts fail that test and are set aside. The agent receives only the 10 that actually require attention.
AI agents operate with high-precision context, improving accuracy and reducing hallucinations caused by irrelevant material
Lower token consumption, faster inference times, and reduced model compute costs
Recurring sync & refresh
Knowledge that keeps up with the organization
Flexor runs continuously so newly created files, emails, chats, and updates are automatically curated into the relevant knowledge space, ensuring AI agents always operate on the current state of the organization.
For example, when a new supplier contract is signed, Flexor detects the new content, processes it, and delivers it to the appropriate knowledge space.
AI agents operate on current organizational knowledge
The operational cost of keeping AI context current is significantly reduced
Delivering context for AI
Meet ACE – The AI Context Engine. ACE automates pre-processing and context building with tailored LLMs and VLMs in a robust multi-phase process, giving you everything you need to turn your enterprise unstructured data into context for AI, straight out of the box.
Tackle the toughest challenges holding back your enterprise, today
Here are some of the ways enterprises use Flexor’s AI Context Engine, ACE, across departments.
Procurement Optimization
Churn Mitigation
Product Discovery
Upsell Identification
Portfolio Management
Procurement Optimization
Churn Mitigation
Product Discovery
Upsell Identification
Portfolio Management
Ready to give your AI agents the context they actually need?
Transform your unstructured data into a competitive advantage.
Frequently asked questions
What is data curation for AI agents?
Data curation for AI agents is the process of transforming raw enterprise content into clean, structured, relevant, and trustworthy knowledge collections that AI systems can reason on effectively. This includes removing noise, resolving duplicates, organizing content by domain, and keeping knowledge continuously updated.
Why can’t I just connect AI agents directly to SharePoint, Google Drive, or Box?
Direct connections provide access, but not full context. Most enterprise repositories contain duplicate files, outdated content, inconsistent formats, and irrelevant information. A single source of information also provides a limited view of the business. Without curation, agents can return incomplete, inaccurate, or conflicting outputs.
How does Flexor improve AI agent accuracy?
Flexor ensures agents receive only relevant, current, cleaned, business-specific context. By cleaning, deduplicating, reducing noise, unifying and contextualizing data with organizational meaning, agents can reason more accurately, retrieve better answers, and generate more reliable outcomes.
What kinds of data sources does Flexor support?
Flexor can ingest data from shared drives, Google Drive, Box, SharePoint, chats, emails, call transcripts, ticketing systems, internal repositories, and other enterprise knowledge sources. Flexor connects to your data lake and to your AI systems.
Can Flexor reduce AI operating costs?
Yes. By eliminating unnecessary data, reducing token-heavy prompts, minimizing duplicate retrieval, and improving inference efficiency, Flexor helps lower model usage costs, storage costs, and compute overhead.
