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.
Agents that know what your company knows
AGENTSCOPE:HYPER organizes knowledge, orchestrates intelligence, and operates workflows.
Review the 40 open opportunities with the latest call notes; flag the ones that won't close this quarter, with reasons.
CRMCall notesEmail
Approve the proposed workflow?
40opportunities reviewed
11won't close this quarter
312call notes processed
“The most common reason deals stall isn't budget; it's missing access to the decision maker.”
Evidence:CRM opportunity · F-1042Call note · Aug 12
Decision trace: Every decision links back to its source note
Typing a new mission
No credit card required.
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.
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.
Mission definitions Draft (mock) API schemas Digital architecture map Architectural alignment roadmap
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.
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
- Reads
- Prepares
- Gets approval
- 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 AGENTSCOPE: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 ₺1500/mo, Premium ₺3000/mo. Enterprise pricing is custom — we'll shape it together in the demo call.