Generic AI doesn’t know your business.
Let’s change that.
Turn enterprise unstructured data into the context your AI needs to succeed.
A new enterprise reality
The world is galloping towards agentic AI, where autonomous systems make decisions and act on behalf of the enterprise. The technology is ripe, but enterprise trust is lacking. AI systems hallucinate, provide inaccurate answers, and inconsistent output. They lack organizational context and grounding.
The unstructured data challenge
90% of enterprise knowledge lives in unstructured data formats, emails, documents, messages, calls, CRM notes, reviews, surveys, support tickets and more. This most important source of unique, timely business context and knowledge is very messy and difficult for AI to process.
Generic LLMs and RAG are not enough
Connecting AI apps directly to unstructured sources is not enough. Unifying, structuring, pre-processing, context engineering and domain intelligence are required to make this data AI-ready and scalable across departments and use cases.
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.
3x accuracy improvement
Don’t make decisions without complete AND curated data. AI agents benefit from the full picture across all sources, while working with a curated data set tailored to each specific task.
5x cost reduction
Enough tokenmaxxing. Consume fewer tokens than any agentic RAG solution and deliver better results by pre-processing data once and reusing it across use cases.
Full de-risking
Stop giving your AI agents direct, ungoverned access to all your data with MCP. Start curating data per use case, role or department.
Sub-second latency
Move beyond on-demand data without ingest. Index your data in your existing data platform or lakehouse for high responsiveness exactly when you need it.
100% consistency
Eliminate conflicting results across business applications, departments or attempts. Resolve conflicting data automatically. Structure your metadata to get consistent results every time.
Integrates seamlessly with your existing data stack
Snowflake
Databricks
Microsoft Fabric
Google Big Query
Amazon Redshift
Amazon S3
GCS
Azure bucket
Pinecone
Weaviate
Milvus
“Flexor turns unstructured data into AI-ready context we can deploy for endless use cases. We’re now working on AI initiatives the sports industry has never attempted before, turning our unstructured data into a real competitive advantage.”
Mickey Mentzer
Senior Director
Put Flexor ACE to work on your data
Multimodal unstructured data
Information extraction, cleaning & caching
Datapoint-level context building
Structured metadata extraction & indexing
Enterprise level context building
Domain intelligence & knowledge curation
Context for AI
Using a unique context engineering methodology and a multitude of proprietary LLMs and VLMs trained for specific tasks across a robust end to end process, Flexor ACE unifies, cleans, prepares and delivers your enterprise’s unstructured information in a structured format, with full data & business context. ACE does the heavy lifting, so your team can concentrate on transforming your organization with AI, with confidence.
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
Unlock value across verticals
Amit Bar Sela
Co-Founder & CEO
“For investment firms trying to build a modern data stack, unstructured data has always been the hard part. Flexor makes it actionable – turning the qualitative, text-heavy content that defines this industry into structured, queryable signals”
Mickey Mentzer
Senior Director
“Flexor turns unstructured data into AI-ready context we can deploy for endless use cases. We’re now working on AI initiatives the sports industry has never attempted before, turning our unstructured data into a real competitive advantage.”
Boaz Maoz
Managing Director
“Flexor ensures that AI agents can deliver answers that enterprises actually trust for production use.”
Keren Dudelzon
AI Product Lead & Technichal Product Manager
“Flexor provided a smooth integration into our existing data ecosystem.”
Alan Jacobson
Ex-CDAO Alteryx
“Flexor is solving a problem that’s a major bottleneck for enterprise AI. Making unstructured data AI-ready is genuinely hard, and they’ve cracked it in a way I haven’t seen before”.
Tal Peretz
Co-founder & CEO
“We deployed Flexor directly into our product as the unstructured data engine running under the hood, and suddenly tens of millions of PDF pages and disparate social media sources became unified, contextualized and fully usable. Game changer for us, and the Flexor team were true partners every step of the way.”
The latest from Flexor
News
Flexor Announces Integration with Snowflake to Bring AI-Ready Unstructured Data Context right into the Snowflake AI Data Cloud
Enterprises can now transform unstructured data into structured, AI-ready context right inside Snowflake, powering reliable agentic AI and analytics workflows at scale.
News
10 companies putting AI agents to work across industries
Flexor recognized by Google Cloud as one of 10 companies putting AI agents to work and helping shape entirely new markets
News
How a Multinational Corporation Optimizes AI Agents at Scale Using Flexor’s AI Context Engine
A global corporation leveraged Flexor ACE as the context layer that turned their AI agents into infrastructure they could finally trust.
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 get started?
Make today the day you give your AI applications the context they need to succeed
