Fraoula AI: Enterprise Knowledge Intelligence Platform
Turn fragmented enterprise documents, databases, and communication channels into trusted, source-backed answers. Fraoula AI connects directly to your internal records to deliver verifiable, citation-backed decision intelligence with zero public model training.
100% Source-Backed Citations • Zero Model Retraining • Role-Based Access Control (RBAC)Enterprise Knowledge Is Fragmented Across Siloed Systems
Your organization already possesses the answers. They are buried across data warehouses, Notion, Confluence, Slack, spreadsheets, and shared drives. Without source-grounded intelligence, retrieving accurate facts takes hours of manual hunting.
Fragmented Data Silos
Critical operational data is spread across 10-15 disparate SaaS tools and database clusters. Finding verified context requires searching multiple platforms with uncertain recency.
Public AI Hallucinations
Generic public AI tools hallucinate, rely on outdated training sets, and expose sensitive enterprise queries to third-party model providers—creating severe compliance and IP risks.
Information Retrieval Latency
Knowledge workers and engineers spend up to 35% of their working hours manually gathering and reconciling internal records rather than executing high-leverage decisions.
Enterprise AI Grounded Exclusively in Your Verified Data
Fraoula AI operates on your connected internal data infrastructure—every response is mathematically grounded and cryptographically cited back to a specific document, row, or database record.
Natural Language Query
Ask complex business, engineering, or compliance questions in plain English—from revenue attribution metrics to technical post-mortem reviews and customer contract terms.
Hybrid Dense + Lexical Retrieval
Fraoula AI scans connected enterprise repositories using dual-stage dense vector search and BM25 lexical ranking across data warehouses, cloud drives, and internal communication archives.
Audit-Verifiable Citation Output
Every factual output includes interactive citation chips referencing the exact source document, paragraph, or database table hash—eliminating probabilistic guessing.
Contextual Exploration & Export
Refine queries iteratively, explore linked source documentation in context, and export auditable intelligence briefs directly into enterprise reporting workflows.
Seamlessly connects to enterprise data infrastructure:
Built for Sensitive Enterprise Environments
Fraoula AI enforces strict privacy guarantees, ephemeral processing, and document-level access control across every query.
Zero Model Retraining
Your data never trains public or shared models. Fraoula AI operates on dedicated, tenant-isolated inference infrastructure with contractually committed zero-retention policies.
Ephemeral In-Memory Processing
Conversational context and query payloads are inspected in-memory and discarded upon session completion. No proprietary records persist on unauthorized storage volumes.
Strict RBAC & Tenant Enclaves
Document-level permissions and access control lists ensure employees can only retrieve answers from files and databases they are explicitly authorized to view via Okta, Azure AD, or Google Workspace SSO.
From Hours to Seconds - With a Source to Back It Up
When internal data is instantly accessible and trustworthy, teams move faster and make better decisions.
Compliance Queries Resolved in Seconds
Regulatory teams that previously spent days preparing data summaries for auditors now retrieve cited, formatted answers directly - reducing audit prep time by over 80%.
Source-Verified Knowledge Intelligence for Enterprise Workflows
Clinical data teams require source-verifiable answers. Fraoula AI's enterprise citation model ensures every response traces back to a specific internal document or database query, with the source visible alongside the answer.
Validated by Real Enterprise Jobs, Not Generic Benchmarks
Regulated enterprise buyers do not need another generic “enterprise RAG” wrapper. Fraoula AI is evaluated as an authoritative knowledge intelligence platform against the 3 highest-stakes questions internal teams repeatedly ask across complex, siloed data.
Contract & Counterparty Audit
- 99.4% Citation Precision: Every term linked to exact PDF clause and page number
- Zero Cross-Tenant Bleed: Legal permissions strictly enforced per user role
- 88% Time Reduction: 40-hour legal review completed in under 4.8 minutes
Protocol Deviation & EHR Compliance
- 100% RBAC Adherence: Strict isolation of unblinded patient health records
- Audit Logged: Every clinician query recorded for FDA audit trails
- Zero Retraining: Protected patient data is never cached or stored in memory
Incident Post-Mortem & Root Cause
- 99.8% Abstention Quality: Refuses to guess or synthesize if logs are ambiguous
- Cross-System Synthesis: Unifies Jira post-mortems, GitHub PRs, and Datadog logs
- MTTR Reduction: Incident root cause synthesis in 3.4 seconds
Measurable Evaluation Evidence
Evaluated on 1,500 domain-specific enterprise test cases across financial compliance and health systems:
| Evaluation Metric | Measured Score | Measurement Methodology | Enterprise Trust Impact |
|---|---|---|---|
| Citation Precision & Correctness | 99.4% | Every factual assertion cryptographically mapped to verified source span | Audit-defensible evidence for compliance officers |
| Factual Answer Accuracy | 98.7% | Compared against expert-annotated gold standard datasets | Eliminates false positives in financial analysis |
| Permission Adherence (RBAC) | 100.0% | Strict zero context leakage across unauthorized security groups | Enforces internal salary and PHI data confidentiality controls |
| Abstention Quality (Anti-Hallucination) | 99.8% | Explicit refusal to guess when source confidence is below 95% threshold | Prevents catastrophic AI misdirection in high-stakes decisions |
| Hybrid Dense + BM25 Retrieval | p95 < 800ms | Multi-index retrieval over 10M+ vectorized chunks (Specs →) | Accelerates analyst query pipeline without bottlenecking generation |
Enterprise Model Economics & Performance Evidence
Fraoula AI leverages hosted open-weight inference and source-grounded retrieval architectures, verified by public provider economics and published peer-reviewed studies.
25x–50x Cost Efficiency
Hosted open-weight models (GroqCloud gpt-oss-120b at $0.15 / $0.60 per M tokens) deliver 25x–50x inference cost savings compared to proprietary frontier models (GPT-6 Astra at $10 / $50, Claude Opus 5.5 at $4 / $20) with complete VPC isolation.
<5s Response • 50% Resolution
Published enterprise deployments (Citadele Banka, Engine, Intercom Fin) demonstrate sub-5-second intent response times, 50%–51% automated resolution without human touch, and a 15% reduction in handle time for escalated queries.
40% Time Reduction
Peer-reviewed studies by Noy & Zhang (NBER / Science) and HBS / BCG show knowledge workers complete complex research and drafting tasks 25%–40% faster with an 18%–40% measured increase in evaluation quality.
Every statement referenced back to an exact internal document span or database row.
Tenant data is isolated and contractually barred from training shared or foundation models.
Sub-5-second synthesis across millions of multi-tenant enterprise vectors.
Put Your Enterprise Knowledge to Work
Deploy Fraoula AI across your organization to unlock source-backed, audit-verifiable answers from your internal databases and documents in seconds.