Build AI That Knows
Your Data.
Connect your knowledge, create intelligent retrieval pipelines, and deploy grounded AI experiences from one cloud platform.
Start with your own documents. Move to APIs and connected data when you're ready.
Multi-tenant ingestion layer with automatic schema extraction and metadata isolation.
Hybrid vector index + sparse BM25 token index with cosine similarity partitions.
Cross-encoder reranking, context assembly & grounded model generation.
“Enterprise customers may cancel according to the notice period defined in their agreement. Cancellation requests must be submitted in writing with a minimum of 30 days notice prior to the end of the current billing cycle.”
Everything Between Your Data and Your AI.
A comprehensive, developer-first infrastructure stack designed to turn unorganized corporate files into verified, low-latency AI intelligence.
Data Hub
Unified ingestion pipelines for enterprise documents, crawled web knowledge, structured files, and authenticated private APIs.
- PDF, DOCX, TXT, MD, CSV
- Automatic text normalization
- Streaming metadata tags
- Zero data retention leakage
Knowledge Indexes
Deconstruct complex documents into semantic chunks with high-dimensional vector embeddings and token-level sparse keyword indexes.
- Configurable chunk overlap
- Dense + Sparse hybrid matrix
- Metadata filter partitions
- Real-time index updates
RAG Engine
Precision hybrid retrieval orchestrator combining cosine similarity vectors, BM25 keyword matching, and cross-encoder neural reranking.
- Dense/sparse weighting
- Top-K and similarity cutoffs
- Context deduplication
- Strict citation verification
AI Playground
Full developer testbed to query indexes in real time, inspect chunk relevancy scores, evaluate latency, and tune parameters.
- Side-by-side prompt testing
- Relevance score heatmaps
- Latency telemetry (ms)
- One-click API export
Agent Builder
Deploy goal-driven assistants with direct bindings to enterprise knowledge indexes, role instructions, and enforced citation guarantees.
- Enforced source citations
- Multi-index scoping
- Deterministic guardrails
- Deployable via REST & Webhook
Context Graph
Interactive topological graph mapping cross-document dependencies, policy hierarchies, entity relationships, and knowledge clusters.
- Entity-relationship extraction
- Cross-document lineage
- Interactive node visualizer
- Configured entity schemas
Connect the Knowledge Your AI Is Missing.
Your AI cannot answer what it cannot read. TrueTales Data Hub standardizes fragmented enterprise documents into an AI-ready layer, normalizing unstructured text while maintaining document lineage.
Turn Raw Data Into Retrieval-Ready Knowledge.
Raw text is noisy. TrueTales processes, chunks, enriches with metadata, and generates dual vector-sparse indexes so queries match the exact semantic context.
Product KnowledgeDemo Data
Ground Every Answer in Relevant Context.
Control how your application finds, ranks and sends knowledge to your model.
Configurable Retrieval Controls
Fine-tune the mathematical precision of your retrieval pipeline. Balance recall vs precision, enforce strict relevance filters, and eliminate hallucinations with deterministic rerankers.
Test Your AI Before You Ship It.
Validate retrieval recall, preview assembled model context, and verify citations directly in the browser.
Yes. Customers may upgrade or modify their subscription tier at any point during an active billing cycle [Billing Policy §2.1]. Upgrades take effect immediately with prorated billing adjustments applied automatically [Subscription Guide].
“Mid-cycle tier modifications are prorated based on remaining calendar days...”
“Customers receive instant feature activation upon confirmation of tier upgrade...”
See How Your Knowledge Connects.
Explore relationships between entities, topics, documents and concepts across your knowledge base.
Enterprise Plan
Top-level enterprise subscription tier containing custom licensing, billing, and SLA parameters.
Build AI Experiences Around Your Knowledge.
Create specialized AI agents equipped with role instructions and bound to exact private knowledge indexes. Every response is strictly grounded with verifiable source citations.
From Playground to Production With One API.
Integrate grounded intelligence into any backend, microservice, or web application with uniform low-latency REST endpoints.
curl -X POST https://api.truetalesworld.org/v1/query \
-H "Authorization: Bearer tt_live_sec_89df20a" \
-H "Content-Type: application/json" \
-d '{
"index": "product-knowledge",
"query": "What is our enterprise cancellation policy?",
"top_k": 5,
"rerank": true
}'{
"answer": "Enterprise customers may cancel according to the notice period defined in their agreement. Notice must be submitted in writing at least 30 days prior...",
"sources": [
{ "title": "Policy.pdf", "section": "4", "score": 0.94 },
{ "title": "Enterprise Terms", "section": "Cancellation", "score": 0.91 }
],
"usage": {
"prompt_tokens": 184,
"completion_tokens": 42,
"latency_ms": 114
}
}From Raw Data to Grounded AI in Five Steps.
A linear, dependable path from unindexed files to production-ready enterprise intelligence.
CONNECT
Upload or connect knowledge from documents, web crawls, or private endpoints.
INDEX
Process and organize content with automated semantic chunking, metadata, and embeddings.
CONFIGURE
Choose retrieval settings, Top-K thresholds, reranking behavior, and model parameters.
TEST
Evaluate questions inside the AI Playground, verifying source relevance and latency.
DEPLOY
Integrate through a unified REST API or deployed agent experience into your production stack.
Engineered for Grounded Business Applications.
Proven retrieval architectures configured for real-world enterprise operations.
Customer Support AI
Build support assistants grounded in product manuals, SLAs, and warranty policies to resolve customer inquiries with verifiable citations.
Internal Knowledge Search
Help engineering, ops, and legal teams instantly search company knowledge across hundreds of fragmented repositories.
Documentation AI
Add intelligent semantic search and code Q&A to technical developer documentation with zero hallucinations.
Research & Synthesis
Analyze and synthesize massive collections of technical whitepapers, contract revisions, and compliance guidelines.
AI Applications Layer
Give existing SaaS platforms, web apps, and enterprise backends an integrated retrieval layer over proprietary customer data.
Built for the Path From Prototype to Production.
A developer platform crafted for engineers who need observability, clean APIs, and predictable infrastructure.
Projects
Isolate distinct applications, environments, and client tenants.
Data Sources
Connect documents, web scrapers, and streaming payload endpoints.
Knowledge Indexes
Fine-tune chunk sizes, overlap parameters, and dense embeddings.
AI Playground
Evaluate queries, latency, and context assembly in the browser.
API Keys
Generate granular read/write keys with per-endpoint scoping.
Request Logs
Inspect full execution traces, chunk relevance scores, and token logs.
Usage Analytics
Track query volumes, p95 latency, and model tokens in real time.
Dev / Prod Envs
Promote validated indexes from sandbox to high-concurrency production.
See What Your AI Retrieved.
TrueTales is built around total retrieval transparency rather than black-box AI.
Your Data Should Stay Under Your Control.
TrueTales is built for enterprise engineering teams. We do not use your proprietary documents to train foundation models.
Workspace Isolation
Strict multi-tenant cryptographic logical boundaries preventing cross-account access.
Role-Based Access Control
Granular permissions for developers, workspace admins, and service accounts.
Secure Scoped API Keys
Revocable bearer tokens with fine-grained index-level and operation-level constraints.
Data Deletion Controls
Complete, irreversible deletion of documents, chunks, and vector embeddings upon request.
Encrypted Transport & Rest
Industry-standard TLS 1.3 in flight and AES-256 encryption at rest for all stored knowledge.
Audit-Friendly Logs
Comprehensive telemetry and immutable request traces for internal security reviews.
Scale From Early Prototype to High-Volume Cloud.
Metered on stored data, indexed chunks, and retrieval volume. No hidden artificial multipliers.
For developers testing AI on private knowledge.
For production applications and growing SaaS products.
For growing teams with complex knowledge hierarchies.
For advanced infrastructure, compliance, and custom SLAs.
Clear Answers to Technical Questions.
Precise technical details based strictly on our implemented cloud architecture.
Your Data Already Knows the Answer.
Give Your AI a Way to Find It.
Connect knowledge, configure retrieval and build grounded AI experiences with TrueTales AI Cloud.