Agents that know what your company knows

AgentScope.HyperAgent organizes knowledge, orchestrates intelligence, and operates workflows.

Know. Think. Act.

You describe the mission. HyperAgent runs it end to end.

From knowledge to action.

No credit card required.

Give HyperAgent a goal. It figures out the rest.
MISSION

Scan the 214 contracts in this matter, compare risky clauses against precedent, and prepare a risk report for the partners.

KNOW

Illustrative example flow

Knowing starts with connecting.

HyperAgent doesn't ask for an integration project: you connect your sources yourself, and it does the rest — discovering tools, refreshing knowledge, drawing your digital architecture map.

01

MCP servers

Alongside the platform's ready tool sets, you connect your own MCP servers. HyperAgent discovers every server's tools by itself and keeps their schemas in sync.

Tool lists aren't written — they're discovered.

02

Instant MCP from any REST API

Upload your OpenAPI document, pick the endpoints, attach credentials: within minutes your API becomes a live MCP server your agents can call — no code, no restarts.

Spec in, live tools out.

03

Data pipelines

Turns your website, REST API or archives into searchable knowledge; runs on a schedule, fires instantly via signed webhooks, or on demand.

The knowledge layer keeps itself fresh.

04

Ontology

From every source you connect, your account's ontology emerges by itself: tool schemas and your data products' contracts, on one map.

A map of your architecture, drawn for you.

ARCHITECTURAL ALIGNMENT

Your goals shouldn't wait for your architecture.

Gaps between the AI missions you want to run and your current digital architecture? Starting from your mission definitions, HyperAgent drafts service schemas for the missing pieces, maps your digital architecture, and proposes a step-by-step alignment roadmap to close the gaps. For organizations modernizing their architecture, integration becomes an alignment opportunity — not a blocker.

All self-serve: connect without waiting for a discovery call, and give your first mission within minutes.

The problem isn't the model. It's orchestration.

Today: eight apps — you are the integration

SearchCopyPastePromptCheckOpen CRMSendUpdate

With HyperAgent

Intent HyperAgent Completed work

Not answers — completed work.

Knowledge-native

Agents that know what your company knows.

The source next to the answer:

Supply Agreement v4 · §7.2Board resolution 2026/18

Multi-agent

Not one agent. A staff of them.

Working this mission:

Legal AgentRisk AgentVerification Agent

Governed

Every answer has a source. Every action leaves a trail.

Autonomy level:

ReadsPreparesGets approvalAutonomous

How HyperAgent works

01

Knowledge OS

Connects documents, databases, apps and organizational memory into one semantic layer every agent can trust.

Search less. Know more.

02

Agent Runtime

Understands intent, plans the mission, routes the right agents and models, executes in parallel, verifies results.

You never have to choose. HyperAgent does.

03

Agent Network

A staff of specialist agents — research, finance, sales, legal, data — first-party and custom.

Expertise, per task.

04

Action Layer

CRM, ERP, email, calendars, databases, APIs: not answers — completed work.

Answers are not the outcome.

Our pricing is public.

Products

HyperAgent Individual

For one professional.

Start free — Standard ₺199/mo · Premium ₺499/mo.

No credit card required.

Start Free

HyperAgent Enterprise

For teams and institutions.

Shared knowledge layer, role-based access, audit trail, custom agents.

Custom pricing.

Book a Demo

For large enterprises that need on-premise deployment: HyperAgent On-Prem →

Real missions, every department

Sales

“Review the 40 open opportunities with the latest call notes; flag the ones that won't close this quarter, with reasons.”

Customer Success

“Review accounts approaching renewal alongside their support history; draft account plans for the ones at risk.”

Operations

“Match delayed orders with supplier correspondence; extract root causes and prepare the meeting summary.”

Finance

“Compare monthly spend items against contracts; flag anomalies and build the executive summary.”

Procurement

“Compare three supplier bids against past performance data; prepare a recommendation report.”

Legal & Compliance

“Compare the new regulation against the contract portfolio; list affected clauses and required revisions.”

Autonomy you control.

Every answer has a source. Every action leaves a trail.

  • Critical steps pass through human approval
  • Every run keeps an audit trail
  • An agent never exceeds its user's permissions

HyperAgent can act autonomously — but never invisibly.

Autonomy levels

  1. Reads
  2. Prepares
  3. Gets approval
  4. Autonomous

Questions

Where is our data stored? Is on-premise deployment possible?

In the cloud edition the database, file storage and application servers are in Google Cloud's Frankfurt region; search indexes are in the Netherlands. There are two exceptions, set out as a table in the Privacy Policy: the default AI models run on a multi-region endpoint and one higher-tier model runs in the United States. Organizations that need on-premise deployment can run HyperAgent On-Prem — data never leaves your infrastructure.

Is our data used to train AI models?

No. We do not use your data to train our own models; the model provider we use also does not, under its terms, use customer data to train its own models. Enterprise agreements state this commitment in writing.

What is your KVKK compliance and data processing process?

The Privacy Policy, Terms of Use and KVKK Notice are live; which data is processed on which legal ground, and where it is transferred, are set out as tables. Data processing roles are defined in the data processing annex to the enterprise agreement. We work through it with your compliance team during the demo.

What systems does it connect to?

CRM, ERP, email, calendars, document stores, databases and internal APIs. Custom connectors are built under Enterprise scope.

What if an agent gets it wrong?

Critical actions sit behind the approval layer: at the Reads → Prepares → Gets approval levels, an agent changes nothing in your external systems. Every run keeps an audit trail; every result traces back to its source.

How is access managed?

Access is role-based; an agent never exceeds the permissions of the user who runs it. Audit records show who ran what, and when.

How do we start? How long does setup take?

Individual starts free, in minutes. The typical Enterprise path: discovery call → pilot scope → connections → first missions. Pick a date and time that suits you when booking the demo.

How does pricing work?

Individual pricing is public: start free; Standard ₺199/mo, Premium ₺499/mo. Enterprise pricing is custom — we'll shape it together in the demo call.

Stop managing AI.

Give it a goal.

Know. Think. Act.