AI Fails On Data,
Not On Models

Latence transforms messy documents into structured intelligence — then builds cross-document knowledge graphs and formal ontologies, so your AI doesn't just retrieve, it reasons.

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Free balance included
step 1/7

Document Processing

Any format in. Structured markdown out. No context window limits.

PDF
PPTX
XLSX
JPG
{ structured }
title:Q4 Report
tables:3 extracted
figures:7 detected

From documents to knowledge graphs. One platform.

Our Philosophy

Enterprise Data, AI-Ready

Enterprises sit on vast, heterogeneous data. Frontier LLMs are powerful, but using them for every data task wastes budget and compute. We believe in purpose-built AI that delivers production-grade results.

Purpose-Built,
Not Brute-Force

Specialized models that deliver deterministic, reproducible results on structured data tasks — by design.

Cost & Latency
Optimized

Minutes, not hours. A fraction of the cost. Zero compromise on output quality.

Resource-
Conscious AI

Every token processed intentionally. No wasted compute, no wasted spend.

What to Expect

High-Quality Data. Real AI Returns.

Noisy, heterogeneous enterprise data is why AI investments underdeliver. Latence fixes the root cause.

End the "Garbage In, Garbage Out" Cycle

Deterministic, reproducible output from any source. Same input, same result — every time.

>70%
cost reduction vs LLM pipelines

Pipeline-First Architecture

Configure once, process at scale. Async pipelines with intermediate results at every stage.

7 services
one composable pipeline

Built for Enterprise Search & RAG

Chunking, compression, and enrichment purpose-built for retrieval systems.

60%
less context noise

Compliance Without Compromise

Deterministic PII detection and redaction. Compliance you can prove, not hope for.

>90%
automatic PII detection
Pipeline Builder

Simplicity By Design

Configure once, execute at scale. Take full control over every stage and their features.

Modular Services

Chain any combination of 7 services into one pipeline

Fluent API

Readable, chainable builder pattern — configure in seconds

Smart Validation

Auto-injects missing dependencies, catches errors before execution

Async by Default

Submit, poll, or await — built for production workloads

Inspect intermediate results at every stage
Deterministic — same input, same output, every run
No context window limits — process documents of any size
1
Document Processing
mode: performance
2
Entity Extraction
labels: person, org
3
Relation Extraction
resolve_entities: true
4
Redaction
mode: balanced
5
Chunking
strategy: hybrid, chunk_size: 512
6
Compression
rate: 0.5
Latence API

Complete Toolkit At Your Fingertips

An async pipeline builder designed to process documents at scale. Every service is also available as a standalone API endpoint for more granular control.

1

Document Processing

Any file type to structured markdown. No context window limits. Layouts, tables, forms, and images.

2

Chunking

4 splitting strategies: character, token, semantic, and hybrid. Markdown-preserving, document-aligned.

3

Entity Extraction

Consistent, schema-compliant extraction. No hallucinated entities, ever.

4

Relation Extraction

Entity relations, ambiguity resolution, and knowledge graph construction.

5

Redaction

Deterministic PII detection and removal. GDPR-compliant by design, not by chance.

6

Compression

Loss-free text compression including TOON and annealed chat-message compression.

Dataset Intelligence

From Documents to Understanding

Go beyond per-document processing. The Dataset Intelligence engine builds a unified knowledge graph across your entire corpus — resolving entities, predicting missing links, and inducing a formal ontology — all unsupervised.

Entity Resolution

Collapse mentions across documents into canonical entities with full provenance

Link Prediction

RotatE-powered missing-link discovery with calibrated confidence scores

Ontology Induction

Auto-generated OWL/SHACL ontologies compatible with Neo4j and GraphDB

Incremental Updates

Delta detection, warm-start training, and atomic WAL commits for living datasets

Evidence-backed graph with full provenance to source pages
Standards-compliant — exports to Turtle, SHACL, GraphML
GPU-optimized with checkpoint resume for large datasets
T1
Semantic Enrichment
Per-document features & page-level grounding
$1/ 1K pages
T2
Knowledge Graph
Cross-document entity resolution & link prediction
$10/ 1K pages
T3
Formal Ontology
Induced OWL/SHACL for enterprise graph stores
$50/ 1K pages
Full Bundle
$61$51.85/ 1K pages15% off
Fair Pricing

Transparent, Pay-As-You-Go Pricing

No subscriptions. No minimum commitments. Only pay for what you process.

Configure Your Pipeline

Toggle stages to build your processing workflow

4/6 active
Dataset Intelligence

Estimated Volume

pages

Estimated Cost

4 services · 1,000 pages

$23.30
$0.023 per page
Document Processing$6.25
ChunkingFree
Entity Extraction$9.10
Redaction$7.95
Start Building

Estimates based on typical pipeline configurations. Actual costs depend on enabled features.

Free balance on signup.

Enterprise Deployment

Need the Full Stack? Get Your Own LatencePod.

Get the complete Latence infrastructure deployed exclusively for your organization. Async pipelines and 24/7 low-latency real-time API dedicated to you.

Dedicated Infrastructure
Real-Time API Access
24/7 Async Pipelines
Custom SLAs
Custom pricing available

From Raw Documents to AI-Ready Data in Minutes

Configure your first pipeline in the visual builder, build programmatically with the Python SDK, or test every service in the playground.

No credit card required
Free balance on signup
Pay-as-you-go pricing
pip install latence·Get started in 30 seconds