Accelerate GenAI: From POC to Production
FlashQuery is a secure, containerized platform for enterprise AI orchestration.
Connect your models
Ingest internal data
Build RAG-powered assistants
Have full control, visibility, and compliance
Have it all, at scale
Built for Every Layer of Enterprise AI—From First Prompt to Production
Flexible Model Orchestration
Connect and route across OpenAI, Claude, Mistral, or self-hosted models—without code changes or vendor lock-in.
RAG-Ready Data Pipelines
Ingest unstructured data, documents, and APIs into a secure knowledge base with built-in vector support.
Enterprise-Grade Security & Auditability
Enforce role-based access, isolate data by tenant, and trace every model decision with full audit logs.
Configurable Plugin Framework
Adapt FlashQuery to your stack with low-code connectors, confidence scoring plugins, and custom routing logic.
From Guided Setup to Production-Ready Assistant—in Hours, Not Weeks
Deploy FlashQuery in Your Environment
Containerized install with guided configuration. No cloud lock-in or long setup cycles.
Connect Your Models and Data
Link commercial or self-hosted LLMs. Add knowledge bases, document sources, and APIs.
Configure Users, Permissions & Workflows
Define your applications, roles, and access scopes. Set up prompt routing and assistant flows from a unified interface.
Test and Tune in the Built-in Playground
Experiment with prompt versions, RAG configurations, and confidence scoring—before going live.
Deploy Securely at Scale
Move to production with SSO, tenant isolation, audit logs, and observability built in.
Why Enterprise Teams Trust FlashQuery to Power GenAI
Deploy Fast, Without DevOps Drag
Launch assistants in hours—not weeks. FlashQuery spins up quickly and integrates with your stack.
Used for fast-moving POCs and pilot deployments.
Purpose-Built for RAG & Assistants
Manage knowledge bases, prompts, and retrieval logic in one place.
Power internal documentation bots, support agents, or product features with your own data.
Enterprise-Ready from Day One
SSO, audit logging, tenant isolation, and prompt versioning come built-in.
Used in security-first environments like finance, healthcare, and regulated SaaS.
One Unified Layer for Your AI Stack
FlashQuery sits between your apps, your data, and your models—so you can focus on results, not infrastructure.
Simplifies delivery of AI across multiple apps or business units.
Built for Enterprise AI That’s Auditable, Contained, and Ready to Scale
Designed for teams building real products—not just demos. For those who care about control, observability, and getting to production.
Deployment & Infrastructure
Containerized deployment
MCP support
Secure user and tenant-level data isolation
Security & Access Control
Role-based access control
SSO authentication
Audit logs for all actions
Data Management & Retrieval
Private vector database support
Retrieval-ready data ingestion
AI & Orchestration
Multi-LLM orchestration
Prompt versioning with history
Customization & Extensibility
Custom routing logic
Plugin framework for extensions
What People Are Saying About GenAI Challenges
Generative AI’s potential is undeniable, but the path to enterprise production is full of hurdles. FlashQuery exists to help teams solve the hard problems of trust, governance, and scale.
If we can't fully customize or govern the AI to fit our needs, it feels like we're letting someone else decide how our business should run. That's a level of risk I'm not comfortable with.
OpenAI is our brain, but tomorrow Google may come up with something — or another company. If we go all-in with GPT enterprise, or go with Co-pilot, we'll be locked into one ecosystem. DON'T WANT THIS!
Foundational models are not suitable for enterprise use, says Brian Demitros, innovation lead for data and technology at advertising network Dentsu. “They’re trained on the internet and often contain innacurate or misleading information,” he says. “You can’t simply use them out of the box and expect a level of accuracy needed to support critical decision-making. Customization is critical to get value out of them.
Seven in 10 executives believe enterprise use of generative AI means exposing company data to new security risks.
Organizations are seeing a dramatic rise in informal adoption of gen AI – tools and platforms used without official sanctioning.
Many organizations considering AI implementations are concerned about the potential loss of corporate data, a risk that weighs heavily on the minds of buyers.
More than three-quarters of CIOs in our survey reported they are concerned about the security risks of AI.
IT leaders can expect data issues, compliance hurdles and technology coordination chores when scaling generative AI.
There are a number of issues to solve before you go from pilot to scale... It's important to just set the frame and say, 'We see the honeymoon phase being over.’