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Research & analysis

Due diligence assistant

Work through a data room and flag what needs a human.

  • Store
  • NoSQL
  • Workflows
  • AI
  • GPU

The scenario

An agent reads hundreds of documents for a deal, extracts key terms, and pauses for sign-off on anything unusual.

How it works

  1. 1Documents are stored and key terms extracted into records.
  2. 2Unusual items trigger an approval step.
  3. 3The finished file is frozen for the audit trail.

An illustrative scenario, not a customer story.

Interactive simulation

Simulate this case study

Watch the partition come up, each step run, and usage build as it goes. Simulated: volumes, timings and prices are illustrative.

Partition

—

Status

not created

Elapsed

00:00

Overall0%
  1. Provisioning
  2. Processing
  3. Freezing
  4. Complete

01Documents are stored and key terms extracted into records.

queued
  • Ahura Storequeued

    status: queued · 0 / 48 objects stored

  • Ahura NoSQLqueued

    status: queued · 0 / 600 records written

02Unusual items trigger an approval step.

queued
  • Ahura Workflowsqueued

    status: queued · 0 / 36 steps completed

  • Ahura AIqueued

    status: queued · 0 / 150 model calls

03The finished file is frozen for the audit trail.

queued
  • Ahura GPUqueued

    status: queued · 0 / 90 GPU-seconds

Not createdus-eastRetention hold
Run time
00:00
0 calls
Size
2.3MB
0.00 ACU used

Services in this partition

  • Store

    0 calls · 0.00 ACU

  • NoSQL

    0 calls · 0.00 ACU

  • Workflows

    0 calls · 0.00 ACU

  • AI

    0 calls · 0.00 ACU

  • GPU

    0 calls · 0.00 ACU

Spend by service

Event log

  • Waiting to start.

Why Ahura OS

Why this is better on Ahura OS

Diligence is a trade of speed against care, and the usual answer is more people. Ahura OS lets agents do the reading while a workflow enforces the care: unusual terms stop at an approval step and nothing moves on without sign-off. Documents never leave an isolated partition, every extraction and approval is recorded, and when the deal closes the file is frozen for the audit trail and destroyed on schedule. Confidential material has one home and a known end date.

What each capability replaces

  • Ahura StoreInstead of managing buckets, permissions and lifecycle rules, objects follow the partition: they freeze, thaw and expire with it.
  • Ahura NoSQLInstead of designing tables and maintaining indexes, you write documents and query them. Indexes are looked after for you.
  • Ahura WorkflowsInstead of writing retry, timeout and approval plumbing, you declare the steps and the platform guarantees the behaviour and the history.
  • Ahura AIInstead of a model gateway and several vendor contracts, one priced call reaches several models and chooses a cheap one when it can.
  • Ahura GPUInstead of renting accelerators by the hour for inference or training, hardware starts when an agent calls it, hot models load in under a second and the bill stops when the work does.

And on every use case

  • One endpoint, not a stack

    Memory, storage, compute, inference, identity and messaging share one connection, one identity and one bill. The integration work you would normally own disappears.

  • Isolation by construction

    Every agent’s world is a partition. Separation is how the platform is built, not a convention teams must remember to follow.

  • Cost follows use

    Pay per call and per millisecond. Idle agents freeze to archive pricing. There is no capacity to reserve and nothing running unseen.

  • Retention and deletion built in

    Lifetimes, expiry, freezing and destruction are platform features, so your data policy is enforced rather than aspirational.

  • Safe autonomy

    Spending limits, protected signing keys, approval steps and signed actions let agents work unattended without being unaccountable.

  • Ready for audit

    Designed against SOC 2 and ISO 27001 controls, with every call metered, recorded and attributable.

Compared

The old way of doing things

Today

A virtual data room plus a team of reviewers and a trail of email for approvals. Sensitive files are downloaded and copied around.

Cheaper with Ahura OSRoutine reading is done by low-cost inference; people only spend time on what is flagged.
Faster with Ahura OSHundreds of documents are processed in parallel and exceptions go straight to an approval step.
Less risk with Ahura OSDocuments live in one isolated partition, every step is recorded, and the file can be frozen for audit then destroyed on schedule.

Data retention is built in

Everything this scenario stores lives in one isolated partition with a lifetime you set. Expired data deletes itself, a paused project freezes to low-cost archive, and a finished one can be destroyed completely. Security and compliance