Flexor for AI engineering departments
Make unstructured data AI-ready. Turn messy enterprise data into trusted, production-grade context for AI applications, agents, and models.
Full-context for AI systems
Give models and agents access to the right context, based only on relevant and connected information.
Higher quality, lower hallucination risk
Ground every output in trusted, fully traceable, and source-linked enterprise knowledge, improving retrieval accuracy and system reliability.
Consistency at scale
Build context pipelines once and deliver consistent outputs, logic, and knowledge standards across teams, tools, and diverse AI use cases.
Faster time to production
Stop building custom ingestion pipelines, brittle parsers, and one-off data prep workflows for every use case.
Built-in AI explainability
Gain AI explainability, full, lineage tracking, and auditability across every AI workflow.
What leading AI teams and their agents are building with Flexor
Unify all unstructured enterprise data
Connect documents, emails, chats, calls, tickets, wikis, documentation and other fragmented sources into one contextualized AI-ready layer that can be utilized directly from your existing data platform.
Build configurable data-to-AI pipelines
Create reusable pipelines that clean, deduplicate, filter, structure, enrich, and route unstructured data for a wide range of AI use cases, using standard SQL and integrating natively with platforms like Snowflake, BigQuery, Redshift, Databricks, and Azure Fabric.
Create a domain intelligence hub
Establish a shared source of business truth where terminology, policies, relationships, workflows, and institutional knowledge stay consistent across every team and AI system.
Combine structured and unstructured intelligence
Combine the structured data you already have in data warehouses with the business context hidden in unstructured data like documents, tickets, calls, and PDFs, so decisions and outputs reflect the full picture, while seamlessly embedding outputs into vector databases like Pinecone, Weaviate, and Milvus for downstream AI use.
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
Your models are only as strong as their context.
Build production AI systems on trusted enterprise context with Flexor.
ACE integrates seamlessly with your existing stack
Provides enterprise-grade security and privacy
Flexor can be deployed in your VPC. Your data is never used to train models.
The technology abides by the highest privacy and security standards, always keeping your data secure.
Ready to give your AI agents the context they actually need?
Transform your unstructured data into a competitive advantage.
Frequently asked questions
What types of data can Flexor process?
Flexor handles the full spectrum of unstructured enterprise data: PDFs, docs, emails, tickets, call transcripts, code documentation, CRM notes, and internal wikis. It cleans and structures this data specifically for LLM and agentic consumption.
How does Flexor reduce engineering overhead?
We make unstructured data AI-ready. No need to manually clean, parse, deduplicate, filter, or add data and business context. Flexor is an out-of-the-box solution that does it for you, while remaining completely flexible and configurable.
How do we ensure extracted data is accurate?
Flexor ensures accuracy by “showing its work.” Every extracted data point is linked back to its original source document, giving you full AI explainability, data lineage and traceability. Easily verify where each insight came from, validate it in context, and maintain confidence in every decision. Flexor also includes a purpose-built evaluation layer designed specifically for such workflows, so tracking the right metrics becomes straightforward instead of a manual, fragmented process.
Is the data secure and compliant?
Flexor is built with enterprise-grade security, governance, and data lineage tracking. It ensures sensitive data is handled securely while maintaining full visibility, data lineage, and auditability. Flexor works directly on top of your data warehouse, without moving or duplicating sensitive data. We support data residency requirements, can be deployed in your VPC, and never uses your data to train external models.
Does Flexor replace my AI Engineers?
No. Flexor is a force multiplier. It handles the tedious data preparation and context building efforts so your engineers can spend their time on model performance, agentic workflows, and shipping features.
