[ 001 ]  —  AI Automation Studio  /  For Enterprise
Live · agents online · 04:25:28 UTC

Reclaim15+ hours a week —AI agents put yourback-office on autopilot.

Custom multi-agent pipelines that plan, execute, and verify B2B workflows end-to-end — without expanding headcount.

Live · Powered by Gemini 3.1 Pro · Try it →
Try:
EXEC ▸ pipeline_047.run() 6 _+ 6A4+I_K
trusted by revenue teams, ops leaders & founders shipping under headcount freezes
AUTONOMOUS AGENTS
MULTI-AGENT PIPELINES
BACKEND-NATIVE AI
ZERO HEADCOUNT SCALE
REASONING · TOOLS · MEMORY
SYSTEMIC LEVERAGE
AUTONOMOUS AGENTS
MULTI-AGENT PIPELINES
BACKEND-NATIVE AI
ZERO HEADCOUNT SCALE
REASONING · TOOLS · MEMORY
SYSTEMIC LEVERAGE
pipeline_047.run() ok Δ3.812s
1,240 leads routed / autonomous
agent.planner → executor handoff
24 agents online / mesh healthy
crm.sync() ok · cost $0.014
SOC2 · GDPR · audit-logged
retry.exponential(3) ok
observability first · full traces
pipeline_047.run() ok Δ3.812s
1,240 leads routed / autonomous
agent.planner → executor handoff
24 agents online / mesh healthy
crm.sync() ok · cost $0.014
SOC2 · GDPR · audit-logged
retry.exponential(3) ok
observability first · full traces
[ 002 ]  —  Live Runtime

Watch a sample lead-response pipeline. Type your own workflow up top and Hypercrag will draft a live one — end-to-end, using the tools you already run.

Agents that think
in production.

hypercrag@runtime — sample pipeline
Trigger
LinkedIn
schedule meeting
Agent
Planner Agent
intent=schedule_meeting conf=0.94
Tool
HubSpot
lookup(cognitr.ai)
→ tier=B arr=$1.4M owner=@marcus
Tool
Snowflake
query(crm)
→ 3 matches
Tool
Calendly
query(marcus)
→ 6 slots
Guard
Guardrail
ok
next agent
Telemetry
success rate99.4%
avg. cost / run$0.014
cycle time3.81s
cpu ceiling18%
Trace
[ 003 ]  —  Anatomy of an Agent

Here's a lead-response pipeline running end-to-end. Every node is an AI agent with its own tools, memory, and guardrails — no humans in the loop.

Seven agents.
One quiet pipeline.

LeadResponder v3 · executing…
01 · Trigger
Zoho CRM · New Lead
▸ executing
02 · Enrich
Clearbit · Segment · Apollo
queued
03 · Reason
Planner Agent · GPT-class
queued
04 · Route
Rules · CRM · Slack tags
queued
05 · Draft
Gmail · Personalised reply
queued
06 · Verify
PII scrub · Guardrails
queued
07 · Dispatch
Gmail · Slack · Log to CRM
queued
0+ hrsReclaimed / weekper operator
0%Cost per action ↓vs manual
$0/moSaved on avgper pipeline
0.0sAvg. cycle timeΔt end-to-end
Ω / 010Actions / month
Ω / 020%Avg. cycle-time cut
Ω / 030Agents deployed
Ω / 040.0%Uptime SLA
[ 004 ]  —  Core Capabilities

Three layers.
One operational fabric.

PLANE1E2E3T1T2T3T4
agent.mesh · live
/01Reasoning Layer

Autonomous agent pipelines

Multi-step reasoning agents that plan, act, verify — and never sleep. Planner + executor topology with guarded tool use and long-horizon memory.

  • Planner + Executor
  • Guarded tool-use
  • Long-horizon memory
CRMMAILDBSLACKSTRIPEAUTH
/02Systems Layer

Native integration surface

Custom API and backend connections built cleanly into your existing stack. No middleware sprawl, no no-code duct-tape.

Native connectorsAuth-hardenedObservability-first
/03Signal Layer

Data & workflow automation

High-speed enrichment and deterministic routing that turns your operations into a live signal graph — event-driven, always-on.

ETL + enrichmentDeterministic routingEvent triggers
[ 005 ]  —  Manifesto

A short account of what we believe, and why it changes how your company should be operated.

Three chapters
on operational leverage.

01
The Thesis

Headcount is not leverage.

Every mature ops team hits a ceiling where hiring compounds cost faster than output. Autonomy is the only asymmetric bet left.

02
The Discipline

Backend-native, not no-code.

We build agents into your systems — not around them. Auth-hardened, versioned, observable, and answerable to your SRE team.

03
The Outcome

Operations that run in the dark.

Pipelines that plan, execute, verify, and route without a Slack ping. Your team owns strategy — the machine owns the loop.

[ 006 ]  —  Intro

A 40-second intro to Hypercrag — why we exist and what an autonomous back-office actually looks like.

Meet
Hypercrag.

INTRO · hypercrag_v2.mp4
00:00
0:40
ChapterWhat Hypercrag is
  • Duration0:40
  • HostTalha Qureshi
  • SoundRecommended
  • Format1080p · MP4
▸ 0:40 intro
[ 007 ]  —  Booking

Fifteen minutes. A candid operational audit of the workflow that costs you most — and whether we're the right people to fix it.

Stop hiring
around the problem.

audit.slot.available · founder-led · no slide deck

Book a 15-min operational audit.

Bring one workflow. We diagnose it end-to-end, score automation feasibility, and give you a rough cost + timeline range — whether or not you work with us.

  • One workflow diagnosed
  • Feasibility & cost scored
  • Rough timeline range