Intelligence

Autonomous Data & Content Intelligence

Turn raw data into decisions and content.

Investment Range$2.2K–$18K
Monthly Retainer$400–$5,000
Hosting$200–$1,500
0msHumanLatency
24/7AutonomousUptime
<60sTimetoFirstTouch
40%ManualOverheadRemoved
100%HeadlessArchitecture
0msHumanLatency
24/7AutonomousUptime
<60sTimetoFirstTouch
40%ManualOverheadRemoved
100%HeadlessArchitecture
0msHumanLatency
24/7AutonomousUptime
<60sTimetoFirstTouch
40%ManualOverheadRemoved
100%HeadlessArchitecture
//The Matrix
Antigravity
Bubble
Claude Code
Google Ads
HubSpot
Make
Meta Ads
n8n
OpenAI
Python
Retell
Supabase
Twilio
Vapi
WeWeb
Xano
Antigravity
Bubble
Claude Code
Google Ads
HubSpot
Make
Meta Ads
n8n
OpenAI
Python
Retell
Supabase
Twilio
Vapi
WeWeb
Xano
Antigravity
Bubble
Claude Code
Google Ads
HubSpot
Make
Meta Ads
n8n
OpenAI
Python
Retell
Supabase
Twilio
Vapi
WeWeb
Xano
//Tech Stack

Most businesses sit on more data than they can process by hand — invoices to reconcile, markets to watch, content to ship. So it does not get done, or it gets done late by someone expensive. Cuneihive engineers the intelligence layer: autonomous pipelines that ingest raw inputs, reason over them with LLMs grounded in your context, and emit structured outputs — a reconciled ledger, a daily market brief, a published article — continuously and on schedule. The work that used to wait on human attention now happens the moment the data arrives.

  • Problem: Your most valuable data goes unprocessed because processing it is manual, slow, and expensive. Invoices pile up, market moves are missed, and content ships late — every delay is a decision made on stale information.
  • Solution: We deploy autonomous ingestion-and-reasoning pipelines — OCR and LLM extraction, RAG-grounded analysis, and scheduled generation — that turn documents, market feeds, and research into structured, decision-ready output on their own.
  • Outcome: Financial records reconcile themselves, market signals arrive in real time, and content ships daily — with zero manual processing and no bottleneck between data and decision.
The Bottlenecks

The problems you already know

01 / 06

Manual invoice entry drains your finance team

Every unstructured PDF and payment screenshot is keyed by hand — slow, costly, and error-prone.

Resolved inFinTech Invoice & Ledger Agent
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01 Asset

Reference Images

Reference Images — image 1
What We Do

We build pipelines that ingest your raw inputs — PDFs, market APIs, RSS, records — extract structured meaning with OCR and LLM reasoning, ground it against your own parameters, and emit the output you actually need: a reconciled ledger, a trigger, a report, or a finished article.

Why It Matters

Data only has value when it is processed in time to act on it. Manual processing guarantees latency and error; an autonomous pipeline runs the moment inputs arrive, 24/7, with no fatigue and no emotional bias — so every decision is made on current, structured information.

Who It's For

Finance and operations teams buried in manual document processing, trading and market-driven businesses that need real-time signals, and content operations that must publish at a volume humans cannot sustain.

Featured Deployments

01 / 02
Multi-Agent Crypto Market Intelligence SystemDEPLOYED

Multi-Agent Crypto Market Intelligence System

A multi-agent AI system aggregating 15+ market and news sources through specialist agents to generate predictive daily crypto intelligence reports.

n8nOpenAI
Open case file
Ready to Build

Put Your Data to Work.

Every unprocessed feed is a decision you are making blind. Commission a system audit to map the pipeline that turns your data into output.

[ COMMISSION SYSTEM AUDIT ]