Becauselakehousescan't get youwhere youneed to be.

A need, a governed definition, a live read, real compute, a cited answer. One path, run where the data lives.

One fabric. No copies.

A question routes to the systems that hold the answer, executes under their permissions, and comes back live with citations. Vessel, Studio, and Atlas are doors. Not three packages with three ontologies.

One fabric. No copies.

AGENT · THE ASKING ORIGIN

REVENUE: WHICH ONE?

FEDERATED · FULL DEPTH, READ AND WRITE · INTELLIGENT AND GOVERNED · SECURE

Your data estate. Now fully accessible and actionable.

DATA TYPE

StructuredUnstructuredSemi-structured

DATA SOURCE

InternalPartnerPublic

SYSTEM TYPE

LegacyModernPhysical techSensor tech

CAPABILITIES

Map to existing RBACStrict field-level data governancePrecise data retrievalData cleansed on the flyData normalized on the flyFormula/model-level governanceMachine learningStatistical analysisReasoningDeep generative BI functionsFull citationsFull lineage transparencyNo AI model lock-inCloud-deployableCompletely portable

Follow the query.

Five steps between a question and a cited answer. Your scroll is the query.

Question

Asked in Studio, from an agent, or from an AI tool you already run. The path is the same.

ADALY NATIVE INTERFACE

AGENTS, MODELS, AND APPLICATIONS

YOUR AI CODING TOOLS

THE PATH IS THE SAME

Governed definition

Ambiguity resolves against field-level definitions and formula-level governance before anything computes. Revenue means your revenue. Lifetime value is computed with your formula, everywhere, for every person, model, agent, and workflow.

"revenue"→ your revenueGOVERNED ✓
"lifetime value"→ your formulaGOVERNED ✓
"customer"→ field-level definitionGOVERNED ✓

RESOLVED BEFORE ANYTHING COMPUTES

Live read

Connectors query the systems of record at request time. Data is normalized and cleansed on the fly, across systems. Existing RBAC is honored: no security protocols reimplemented, no second IAM created.

CRMLIVE · RBAC ✓
ERPLIVE · RBAC ✓
EHRLIVE · RBAC ✓
MAINFRAMELIVE · RBAC ✓

READ AT REQUEST TIME · NO COPIES

Real compute

Statistical analysis, machine learning, and your models run in real compute. Language models handle language, not the math.

STATISTICSMACHINE LEARNINGYOUR MODELS

LANGUAGE MODELS: LANGUAGE ONLY

Cited answer

Sources and fields cited, full lineage attached, reasoning fully visible, governance enforcement shown.Precise retrieval, not approximate recall.

SOURCE→FIELD→FORMULA→ANSWER

FULL LINEAGE ATTACHEDPRECISE, NOT APPROXIMATE

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Follow the query.

01

02

03

04

05

01

Question

Asked in Studio, from an agent, or from an AI tool you already run. The path is the same.

ADALY NATIVE INTERFACE

AGENTS, MODELS, AND APPLICATIONS

YOUR AI CODING TOOLS

THE PATH IS THE SAME

02

Governed definition

Ambiguity resolves against field-level definitions and formula-level governance before anything computes.

"revenue"→ your revenueGOVERNED ✓
"lifetime value"→ your formulaGOVERNED ✓
"customer"→ field-level definitionGOVERNED ✓

RESOLVED BEFORE ANYTHING COMPUTES

03

Live read

Connectors query the systems of record at request time. Existing RBAC is honored: no second IAM created.

CRMLIVE · RBAC ✓
ERPLIVE · RBAC ✓
EHRLIVE · RBAC ✓
MAINFRAMELIVE · RBAC ✓

READ AT REQUEST TIME · NO COPIES

04

Real compute

Statistical analysis, machine learning, and your models run in real compute. Language models handle language, not the math.

STATISTICSMACHINE LEARNINGYOUR MODELS

LANGUAGE MODELS: LANGUAGE ONLY

05

Cited answer

Sources and fields cited, full lineage attached, reasoning fully visible. Precise retrieval, not approximate recall.

SOURCE→FIELD→FORMULA→ANSWER

FULL LINEAGE ATTACHEDPRECISE, NOT APPROXIMATE

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WHAT THIS ELIMINATES00 REMAINING

01Warehouse02ETL03Lakehouse04Pipelines05A second IAM06Overnight batch07Reverse ETL08The copy tax

The query runs where the data lives, so the copy stack has no job left. Nothing moves to be used, so nothing bills you for the move.

MCP, sprayed as graffiti, crossed out: ain't gonna get you there

Maintaining ends. Building starts.

Adaly ports into AI coding agents, so teams build complex applications and full analytical models against the live estate. The data engineering overhead, the maintenance, and the bottleneck of centralization never happen.

CLAUDE CODE · WRITING AGAINST THE ESTATE

// the estate is already here. build.

const estate = adaly.estate() // entitlements inherited

const accounts = estate.read("crm.accounts") // live · rbac

const invoices = estate.read("billing.invoices")

const ltv = estate.formula("customer_ltv") // one governed definition

portal.render(accounts.join(invoices))

model.fit(demand, { compute: "real" })

repricer.write("erp.prices", proposal) // scoped · audited

identity.resolve("crm", "billing", "support")

cite(everything) // provenance attached

// no pipeline was built. no ticket was filed.

ship()

A CUSTOMER PORTAL

live, entitled account data at the touchpoint

AN ECONOMETRIC DEMAND MODEL

cross-source · real compute

A REPRICING ENGINE

writes back · scoped · audited

A LIVE TREASURY VIEW

every account, live

AN IDENTITY RESOLUTION SERVICE

deterministic matches across CRM, billing, support

A PRICING CONSOLE

A MARKETING MIX MODEL

cross-source · real compute

A PLANT-TO-SHELF MONITOR

production, logistics, and shelf in one live picture

AN AGENT THAT WATCHES THE BUSINESS

A TRIAL OPERATIONS CONSOLE

CTMS, EDC, EHR, labs · one estate

A REVENUE FORECAST MODEL

cross-source · real compute

A CUSTOMER LIFETIME VALUE MODEL

one governed formula, everywhere

AN INVENTORY REBALANCER

moves stock before stockouts · audited

A CHURN EARLY-WARNING MODEL

cross-source · real compute

A SUPPLIER RISK RADAR

filings, logistics, and news in one read

A PATIENT FLOW CONSOLE

EHR, staffing, beds · live

A HOUSEHOLDING SERVICE

one customer across every system

A PROMO LIFT MODEL

cross-source · real compute

A COLLECTIONS PRIORITIZER

next best account, written to the queue

AN ENERGY LOAD FORECASTER

sensor tech and weather · real compute

Straight answers.

The write model

Writes are explicit.

Reads honor the entitlements you already have. Writes are explicit, scoped, and audited: who asked, what changed, in which system, under which approval.

WHO ASKEDON THE RECORD
WHAT CHANGEDON THE RECORD
IN WHICH SYSTEMON THE RECORD
UNDER WHICH APPROVALON THE RECORD

What Adaly persists

Metadata, not your data.

Operational metadata only: schema, relationships, and governance mappings. No persistent copies of source records are kept to serve queries.

SCHEMAKEPT ✓
RELATIONSHIPSKEPT ✓
GOVERNANCE MAPPINGSKEPT ✓
SOURCE RECORDSNEVER STORED

Full organizational context

One truth, everywhere.

One set of definitions and formulas across systems, fields, and reasoning. The entire organization, and every model, agent, and workflow, operates from the same truth.

Proactive insight surfacing

Questions you did not ask.

Adaly asks the questions your organization is not asking itself, and surfaces dependencies and correlations no team was looking for.

SOC 2 TYPE II · HIPAA · REPORT ON REQUESTSecurity at Adaly →

If it holds data, it connects.

Connector classes. Categories, not a logo wall.

01

CRM

Accounts, pipeline, activity

02

ERP

Orders, supply, ledger

03

Geospatial

Parcels, boundaries, routes, coordinates

04

Video & sensor

Body-worn, CCTV, telemetry, IoT

05

HRIS

People, org, compensation

06

Identity

Directory, roles, entitlements, clearance

07

Finance

GL, AP, AR, planning

08

EHR

Clinical records, under HIPAA

09FULL DEPTH

Legacy

Green screens, flat files, first-class

10

Commerce

Catalog, orders, fulfillment

11

Marketing

Campaigns, spend, attribution

12

Support

Tickets, chats, outcomes

13

Custom internals

The systems only you run

FULL-DEPTH LEGACYMainframes and bespoke internals are first-class citizens, queried like anything modern.

Sources on the left. Answers on the right. Nothing warehoused in between.

Talk to us See what we deploy against