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Splashgain

If one of your nightly jobs silently stopped tonight, how long before anyone found out?

  • A scheduled job that reports success and moves nothing

  • A query that got slow last Tuesday and nobody noticed

  • A certificate, an endpoint or a disk found by a customer first

We run our own fleet across two clouds, so the monitor checks what a job actually did — not whether it exited cleanly.

Six agents for the operations team

All six watch the same fleet — the same containers, the same databases, the same public endpoints — so a query that gets slow, an index that fragments and a job that quietly does nothing all surface in one place, not three different dashboards.

Fleet activity monitor

Catch the job that runs, exits zero and does nothing.

How it works
  • Per-container proof of work — messages sent, files migrated, records purged, errors thrown
  • Catches the job that runs, exits zero and does nothing
  • The backup that backed up an empty folder; the purge that purged no records
  • The thing that surprised us most in our own fleet

Database optimizer

Users notice the speed before IT reports the problem.

How it works
  • Continuously hunts slow queries, missing indexes and bad execution plans
  • Recommends or applies the fix
  • Users notice the speed before IT reports it

Index maintenance

Indexes rebuilt on schedule, without a DBA staying up.

How it works
  • Rebuilds and reorganises fragmented indexes on a schedule
  • Inside your maintenance windows
  • No DBA staying up to watch it

Database firewall

The cheapest control between your data and an exfiltration attempt.

How it works
  • IP-restricts database access
  • Blocks everything else by default
  • The cheapest control between your data and an exfiltration attempt

Uptime & incident

Alerts on degradation, not only on outage.

How it works
  • Watches every public endpoint
  • Alerts on degradation, not only on outage
  • Drafts the incident timeline while it is still fresh

Read-only query agent

Business users query production safely, in plain English.

How it works
  • Business users query production data in plain English
  • No write access
  • Every query logged

Ready to see it in action?

Or call +91 95525 86428

Four operational charts tracking counts, distributions and per-item breakdowns side by side

Evidence, not a green tick

The agents report what actually ran, what it changed and what it missed — the job that exited zero without writing a row, the query that got slower this week, the index nobody added.

  • Job runs proved by their output, not their exit code
  • Slow-query and missing-index reports
  • Incident timelines drafted from your logs

Ready to see it in action?

Point us at one scheduled job — we'll show you what it actually did last night.

Or call +91 95525 86428

Running in our own fleet

120+

AI agents and automations running in our own production

2
Cloud regions, monitored 24×7
100%
Platform uptime
50,000
Concurrent exams supported

What IT and DevOps teams ask us first

How is this different from the monitoring we already have?

Conventional monitoring answers “is the process running”. These agents answer “did the process accomplish anything” — how many messages went out, how many records were purged, how many files actually moved. A job can report success indefinitely while doing nothing, and nothing in a standard uptime dashboard will tell you.

Will an agent change our database without asking?

Only where you allow it. Index maintenance and query optimisation can run in recommend-only mode, with every proposed change reviewed before it is applied. Actions an agent does take alone are reversible or logged.

Does this run on our infrastructure?

Yes — standard containers on your cloud or ours, your choice. Your data never trains a public model, and the audit log is yours.

What if we end the engagement?

The agents keep running. They are standard containers on infrastructure you control, and on the Agent Partner engagement the source code and IP transfer to you.

How quickly does this prove itself?

Under 30 days in most cases. It is budget-defensible without a board-level AI conversation, because it either reduces a bill you are already paying or catches a failure you did not know you had.

Free presentation · 13 slides · PDF

Take the deck to your leadership team

The presentation we walk boards and CXOs through — thirteen slides on what deploying AI agents actually involves, from the roles to the guardrails to the commercials.

  • 22 AI employee roles across 9 departments
  • Eight department packs, and the agents inside them
  • One day from first conversation to one agent live
  • Three commercial models, and what each includes
Download the deck

No cost. Work email and organisation only.

Point us at one scheduled job you are not sure about.

We will show you what it actually did last night — and what a fleet monitor would have caught.

Book an Agent Readiness Sprint

Or call +91 95525 86428

Free · 17 slides · PDF

Before you go: meet your 22 AI employees

Which jobs AI can take off your team, and where your people stay in charge.

  • 22 AI employees across 9 departments
  • Input → AI → result, for every role
  • Where your people always decide
  • How to go live in one day

Instant download. Three fields.

No cost. Work email and organisation only.

Book a demo

See it running on your process