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Platform · Agent Runtime Online
[ The Platform ]

The platform for governed autonomous execution.

Reasoning, structured planning, and real execution across business and operational workflows — under human control.

01The Platform

Autonomous decision infrastructure for the modern enterprise.

Three layers work as one. Agentic Core executes. Neural Grid grounds agents in live enterprise context. Sentinel enforces policy, oversight, and audit. Together they form the operating layer for organizations that cannot afford unreliable automation.

02[ Agentic Core ]

The execution layer

Agentic Core manages task routing, workflow state, multi-step actions, retries, and operator control. Long-horizon work is decomposed into auditable steps and executed against live systems.

Multi-agent coordination and delegation

Plan decomposition and tool invocation

Retry, escalation, and human handoff

Operator-facing runtime controls

agentic.core · live

03[ Neural Grid ]

The intelligence layer

Neural Grid unifies data, context, systems, and history into a live decision environment. Agents reason over grounded state — not improvisation — so every action is tied to verified operational truth.

Universal data integration connectors

Policy, document, and signal unification

Semantic retrieval and structured reasoning

Live synchronization with systems of record

neural.grid · liveERPEHRSCADADOCSMESCRMCORE

p95 42ms · 18,422 nodes

04[ Sentinel ]

The trust layer

Sentinel governs permissions, policy, escalation, and audit for every automated action. It is how autonomous systems earn the right to operate in high-consequence environments.

Policy engine and action gating

Immutable audit logs and lineage

Identity and scope control for agents

Human approval, override, and escalation

sentinel · live trace

01

Request

act_0x82f1

02

Policy

envelope ✓

03

Approve

within limit

04

Audit

tr_3b1c · immutable

12:04:21 request act_0x82f1 role=finance.agent
12:04:21 policy envelope=post.journal ✓
12:04:22 approve $28,450 limit=$50,000 ✓
12:04:22 audit commit tr_3b1c immutable
05Execution Model

How the platform runs.

01

Ingest

Structured data, documents, signals, and telemetry from enterprise systems.

02

Model

Build a live operational context across policy, history, and current state.

03

Reason

Generate decisions grounded in context and bounded by policy.

04

Route

Dispatch actions into live systems of record.

05

Escalate

Hand off to human operators when thresholds or risk demand it.

06

Record

Capture every action, decision, and outcome as an auditable trace.

06Deployment Models

Deploy where the work lives.

The platform runs in the environment that fits the workload — managed cloud, private infrastructure, sovereign region, or hybrid.

Cloud deployment

Managed MeerTech cloud for rapid standup. Tenant isolation, encrypted state, and full observability.

Private infrastructure

Run the platform inside customer VPCs or private data centers with your identity, network, and keys.

Sovereign deployment

Single-tenant, region-locked installations for public sector, defense, and regulated industries.

Hybrid deployment

Split the platform across environments when workloads, data residency, or latency demand it.

07Governance by Design

Every action is bounded.

MeerTech is designed for institutions that need explainability, traceability, and operational discipline. No action reaches production without a policy envelope, a decision trace, and a path to human oversight.

Policy-bounded action

Human approval and override

Immutable audit records

Explainable decision traces

Role and scope isolation

Safety-graded escalation

Not built to assist around the edges.

Built to become the execution layer of the autonomous enterprise.

MeerTech
Autonomous decision infrastructure

Architecting agentic AI, FinTech, and cloud systems for the teams that intend to dominate their category.

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