Manta Graph™ · Mapping & Blueprint

Infra before inference.

Manta Graph™ is your estate's Relational Intelligence Graph™ — it diagnoses and builds a living map of how your systems actually relate: the leaks, the bottlenecks, and the highest-value fixes, before a token is spent.

Diagnose the estateDIAGNOSE THE ESTATESourceSystemArchiveManta Graph™Token wasteData leakBottleneckOptimize firstMAPDIAGNOSEOPTIMIZE
Diagnose the estate. Sources connect to a Manta Graph hub. From the hub, three leak nodes surface: token waste, data leak, and bottleneck. The path ends at optimize first. Phases: map, diagnose, optimize. Decorative illustration.
Answer

What is Manta Graph™?

Manta Graph™ is the intake and diagnostic: a Relational Intelligence Graph™ that returns a visual topology, an executable schema, and compute-and-token economics before a model is chosen. It names token waste, data leaks, and bottlenecks, then proposes typed routes a small local model can run against. It never grants authority and never mints proof — GW Slate™ and Receipt Rail™ take those next.

Never train · no rip-and-replace · you own the blueprint and the custom MCP rails

Diagnostic Sprint — $7,500 standard / $10,000 regulated, 100% creditable toward your GW Slate™ build → GW Slate™ Department from $25,000 → Sovereign Enterprise, custom.

What it maps

  • Token waste and prompt bloat.
  • Data-leak vectors.
  • Legacy bottlenecks.
  • Provenance sources — the cells your future receipts trace back to.

Manta Graph™ in five answers

What it is
Manta Graph™ is the intake and diagnostic: a Relational Intelligence Graph™ that returns a visual topology, an executable schema, and compute-and-token economics before a model is chosen. It names token waste, data leaks, and bottlenecks, then proposes typed routes a small local model can run against. It never grants authority and never mints proof — GW Slate™ and Receipt Rail™ take those next.
What it does
Maps token waste and prompt bloat before a model is chosen. Surfaces data-leak vectors and provenance sources future receipts will trace.
What it returns
Manta Graph™ is the intake and diagnostic — Mapping & Blueprint. It charts relational data topology before inference and returns a clear diagnosis across interconnected control layers: which systems are in play, where tokens waste and data leaks, what to optimize first, how intelligence scales, and where data needs protecting. The $7,500 Analog-to-Digital Sprint returns a visual topology, an executable schema, and a compute-and-token economics view — 100% creditable toward a GW Slate™ build.
Why it is worth it
Recovered token spend pays for the map — then 100% of the Sprint credits toward the controller.
How it adopts
GW Slate™ uplifts the SaaS and systems you already run. Custom MCP rails interconnect them as a governed interoperability control plane, and you keep the stack, the blueprint, and the custom MCP rails.
Diagnosis

What does Manta Graph™ return?

A clear diagnosis across your interconnected control layers — which systems are actually in play, where the culprits are (token waste, leaks, bottlenecks), what to optimize first, how intelligence scales across the estate, and where the data needs protecting.

Manta Graph™ methodology cycle
Why maps first

Mapping the topology stops the bleed.

  • Messy legacy data into vector search

    Most pilots fail because siloed records are dumped straight into retrieval. Mapping relational topology first gives small local models the business context they need without a public-model dump.

  • Token bloat before anyone sizes it

    Without a map, every hop re-sends context. The Compute & Token Economics artifact shows recovered spend before the controller is built.

  • No provenance to bind later

    Receipts can only prove what the map already named. Provenance sources are cells on the graph, named before generation.

Sprint artifacts

Three tiers. One map.

Visual Topology for the board · Executable Schema for engineers · Compute & Token Economics for finance.

Manta Graph™ pipeline and deliverables
  • Visual Topology — the board view of how people, systems, and policies actually connect.
  • Executable Schema — typed routes engineers can run against.
  • Compute & Token Economics — recovered spend sized before inference scales.
Pace of play

Built for the people who own the outcome.

Any tech stack — from modern, future-ready setups through the deep-legacy systems a business still runs on. We map and integrate where you are today, so you modernize safely, at your own pace of play.

Finance & fintech leaders

Put agents on real transactions and reconciliations with a chain of custody your auditors and regulators accept, on the core systems you already run.

Digital media & brand leaders

Turn your archive and content into an intelligence engine that scales your voice and keeps your craft intact, with proof of origin on every output.

Operations & P&L owners

Compress cycle time across a workflow while your teams keep working in the systems they know.

Regulated & clinical leaders

Automate under the mandate, with data lineage and authority proof built in.

Underneath all of it, one interoperability fabric spanning modern SaaS, DAM, PIM, and ERP through the deep-legacy systems your business still depends on.

The rails

Manta Graph™ maps it. GW Slate™ orchestrates it. Receipt Rail™ proves it.

Frequently asked questions

01What is Infra Before Inference?

Infra before inference is mapping an enterprise's relational data topology with Manta Graph™ before applying large language models, so GW Slate™ can route the right task to the right model, stop agent looping, and secure data boundaries before a token is spent.

02What is Manta Graph™?

Manta Graph™ is the intake and diagnostic: a Relational Intelligence Graph™ that returns a visual topology, an executable schema, and compute-and-token economics before a model is chosen. It names token waste, data leaks, and bottlenecks, then proposes typed routes a small local model can run against. It never grants authority and never mints proof — GW Slate™ and Receipt Rail™ take those next.

03Why map before retrieval-augmented generation?

Most pilots fail because messy legacy data is dumped straight into vector search. Mapping the relational topology first stops the bleed — token bloat, data leaks, and hallucination — before a token is spent.

04What artifacts does the Sprint produce?

Three tiers: a Visual Topology for the board, an Executable Schema for engineers, and Compute & Token Economics for finance — so recovered spend is sized before the controller is built.

05Do you map the stack we already run?

Manta Graph™ maps any tech stack — from modern, future-ready setups through the deep-legacy systems a business still runs on — and we integrate where you are today so you modernize at your own pace of play.

06What does Manta Graph™ return?

Manta Graph™ returns a clear diagnosis across your interconnected control layers — which systems are actually in play, where the culprits are (token waste, leaks, bottlenecks), what to optimize first, how intelligence scales across the estate, and where the data needs protecting. Relational Intelligence Graph™, applied to your situation.

07Do you train models on our data?

GlobalizeWe never trains models on customer data. The Sprint ingests only anonymized system logs, API metadata, and schemas. Deployments run Hybrid by default, or on-prem or air-gapped by choice; your data stays yours.

08What does the Diagnostic Sprint cost?

$7,500 standard and $10,000 regulated, invoiced 100% upfront as a fully creditable retainer toward your GW Slate™ build. Flexible terms available for qualified engagements.

Book the Analog-to-Digital Sprint.

Fourteen days: the Manta Graph™ map plus one live GW Slate™ micro-controller on your biggest workflow. $7,500 standard · $10,000 regulated · 100% creditable.