Vessel
Put it in the tools you already use.
APPS · AGENTS · MCP CLIENTS · NO HOSTED WORKSPACE REQUIRED
We collapsedthe moderndata stack.
Adaly connects to every system you run and answers questions against live data, governed and fully cited, at the moment you ask. No warehouse. No copies.
01Warehouse02ETL03Virtualization04A second IAM05The copy tax06Lakehouse07Pipelines08Data engineering09Overnight batch10Reverse ETL
Because centralization is the bottleneck of AI. Get rid of: the copy tax, the security problems, the maintenance fees, the inflexibility, sovereignty erosion, AI lock-in, the data problems of today.
QUERIES WAITING: 4,812
ARCHITECTURE C. 1986 · STILL IN PRODUCTION
WHAT GETS THROUGH: COPIES.
The intermediary tax
Labor intensive
No write-back
Entitlements rebuilt
Batch processing
Stale on arrival
Definitions diverge
Premeditated transformations
Fragmentation proliferates
It's not the AI hallucinating.
It's your stack.Omniscience.
See across your legacy, modern, physical, and every other system that makes your company tick, across structured, unstructured, and semistructured data sets: all left at rest, then accessed simultaneously in real time so you can see the full picture. Fully governed, more secure, and with no function loss compared to centralizing.
Automation.
Your opex is being taxed to shovel data into a pit, and the incumbents aren't throwing you a ladder. Adaly connects directly: a lightweight fabric that's a two-way street. This is how your company becomes code.
EVERY WAREHOUSE FUNCTION · NOTHING GIVEN UP
+Advanced analytics+Precise retrieval+Mapped RBAC+Multi-user+Every data type+Normalized on the fly+Cleansed on the fly+Full lineage transparency+Data field governance+Formula governance+No model lock-in+Statistical analytics+Full data citations+Machine learning+Cloud deployable+Cross-system joins+Entity resolution+Row-level permissions+Full audit trail+Zero pipelines
ACROSS THE WHOLE ESTATE · AT ONCE
LegacyModernPhysical techStructuredUnstructuredSemistructuredInternal dataPartner dataPublic data
The stack is not infrastructure.It is a tax.
Data infrastructure runs 2 to 6 percent of an organization's opex, and most of it exists to copy what you already own. Set your numbers. The fork below is your next five years, drawn both ways.
$2.0B
INFRABURNED SINCE YOU ARRIVED · WORLDWIDE THE FORK · TO: YOUR ORGANIZATION · ≈ 8,000 PEOPLETERMS: A CLIMB, NOT A SWITCH
Five year fork: $490M banked with Adaly versus $739M sunk into copies without it.
BANKED WITH ADALYCumulative data-infra spend you stop burning, net of our fee. Hard budget: 72 percent of the copy-driven spend, dead by month nine.
+ RECLAIMED CAPACITYThe hours your people stop losing to stalls and locked automation, priced at loaded cost and stacked on the banked line. Deliberately undercounted.
SUNK INTO COPIESThe same five years spent feeding the stack instead. It frays to dust because nothing accumulates but cost.
Move first and bank $490M by year five. Or wait, and watch a rival do it.
THE MACRO BILL · WORLDWIDE
$2 trillion a year.
Ninety percent of the data organizations manage is a copy of something else. Trillions in infrastructure built to shuttle duplicates, decisions that still arrive late, automation that never ships. It is the problem most worth solving, and Adaly is the only one that solved it. Query the source. Govern in place. Write back. No copies. No tax.
90% REPLICATED, NOT UNIQUE · IDC GLOBAL DATASPHERE≈$300B DATA & ANALYTICS SPEND · IDC19% OF THE WORKWEEK SEARCHING · MCKINSEY GLOBAL INSTITUTE$2T · DERIVED AND SOURCED IN THE MATH
SHOW THE MATH · EVERY CONSTANT, IN THE OPEN
THE 72%90% OF MANAGED DATA IS REPLICATED, NOT UNIQUE [1] × 80% OF COPY-DRIVEN SPEND DIES AT THE SOURCE = 72%
COPY TAXANNUAL OPEX × 6% DATA INFRA × 72% [3] = $86.4M/YR
PEOPLEANNUAL OPEX ÷ $250K PER PERSON · $250K OPEX EACH = 8,000
THE STALLPEOPLE × 55% WHO ASK × 3.5 HRS/WK LOST × 52 × $52/HR · WE PRICE 3.5 OF MCKINSEY'S 7.6 [4] = $41.6M/YR
THE LOCKOUTPEOPLE × 2.2 AUTOMATABLE HRS/WK × 60% REALIZED × 52 × $52/HR = $28.6M/YR
RECLAIMED CAPACITYTHE STALL + THE LOCKOUT · THE DASHED LINE = $70.2M/YR
THE RAMPCOPY TAX DEAD BY MONTH 9 · CAPACITY RECLAIMED ACROSS MONTHS 6 TO 30
GROWTHBOTH PATHS RIDE 8%/YR · NOTHING ELSE COMPOUNDS
OUR FEE (EST.)PEOPLE × (100K TOKENS IN × $7.5/M + 10K OUT × $30/M) × 260 DAYS = $273/PERSON/YR · FLOOR $36K = $2.2M/YR
THE $2T · INFRA HALF≈$300B/YR WORLDWIDE DATA & ANALYTICS SPEND [2] × 90% COPY-DRIVEN [1] = ≈$270B/YR
THE $2T · HUMAN HALF≈1B KNOWLEDGE WORKERS [5] × 3.5 OF 7.6 LOST HRS/WK [4] × 52 × ≈$10/HR BLENDED LOADED [6] = ≈$1.8T/YR
THE MACRO BILLINFRA HALF + HUMAN HALF ≈ $2.1T · CALLED $2 TRILLION
SOURCES
[1]IDC Global DataSphere: of all data created, captured, and replicated worldwide, roughly 90 percent is replicated rather than unique; the unique-to-replicated ratio runs about 1:9.
[2]IDC Worldwide Big Data and Analytics Spending Guide: worldwide spending on data and analytics infrastructure, software, and services runs on the order of $300 billion a year and rising.
[3]IDC Copy Data Management (2013): copy data alone was forecast to cost IT organizations more than $50 billion a year by 2018, before the AI buildout multiplied the estate.
[4]McKinsey Global Institute, The Social Economy (2012): knowledge workers spend 19 percent of the workweek searching for and gathering information, 7.6 hours of a 40-hour week. We price 3.5.
[5]Gartner estimates roughly one billion knowledge workers worldwide.
[6]The $10 per hour blended loaded rate is deliberately conservative: fully loaded knowledge-work cost in the United States alone runs several multiples higher.
An illustrative model, deliberately undercounted, built on the published findings above. Your position depends on your systems and your contracts. The point survives any single constant: the old stack bills you every year for the privilege of staying stuck.
See everything. Automate anything.
One set of definitions, every system in reach, and action that runs where the data lives.
Your best people are babysitting pipes.
90%1of the world's data is a copy of something else
53%2of enterprise data engineering time maintains pipelines that already exist
29%3of enterprise cloud spend is unaccounted for
49%4of organizations have delayed or scaled back AI work because of cost
SOURCES 1 IDC · 2 FIVETRAN AND DBT LABS, 2026 · 3 FLEXERA STATE OF THE CLOUD, 2026 · 4 KPMG GLOBAL AI PULSE
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.
FEDERATED · FULL DEPTH, READ AND WRITE · INTELLIGENT AND GOVERNED · SECURE
- 01
We route the query. We do not copy the estate.
- 02
Your controls. Not a parallel kingdom.
- 03
No intermediary. That is how automation becomes possible.
Studio
Ask the estate in plain language.
GOVERNED DEFINITIONS · CITED ANSWERS · WRITE-BACK WHEN YOU ALLOW IT
Atlas
Built with the people who own the systems.
DESIGNED, DEPLOYED, AND OPERATED WITH YOUR TEAM · MINUTES TO A COUPLE OF MONTHS
Same entitlements. Same definitions. The stack does not come back through a different door.
Your controls. Not ours.
The most secure copy of your data is the one you never made. Adaly reads the entitlements you already have and honors them, on every read and every write. Omniscience without your controls is a breach.
- SOC 2 TYPE IIIN SCOPE · REPORT ON REQUEST
- HIPAAIN SCOPE · REPORT ON REQUEST
- ENTITLEMENTSHONORED ON EVERY READ AND WRITE
