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Splashgain

The problem

Most AI initiatives die between the demo and the deployment

The demo is the easy half. What kills a project is the part nobody scopes — the system of record, the guardrails, and who gets paged when it stops.

What usually happens

  • A slick proof-of-concept that never touches a real system of record
  • Consultants deliver a strategy deck, then leave before anything ships
  • No owner for uptime — the agent silently stops and nobody notices for weeks
  • Data leaves the building; legal and compliance block go-live
  • Per-seat AI licences that scale cost faster than value

What we do instead

  • Every engagement ends with a container running in production, not a PDF
  • We operate what we build — health-monitored, logged, on-call
  • Deployed on your cloud or ours; your data never trains a public model
  • Compliance-first architecture — retention, audit trail and access control from day one
  • Flat platform fee, unlimited internal users
An AI agent working across a chat thread, a user profile and a settings panel at once

What we actually deploy

Agents that answer, decide and hand back — not chatbots that deflect

Each agent owns a task end to end: it reads the request, does the work against your systems, and escalates the cases it should not decide alone. We run every one of these in our own operations before we sell it.

  • Connected to your systems, not a sandbox
  • Escalation paths defined per agent
  • Deployed on your infrastructure or ours

Why us

We run our own AI agent fleet in production — every day

35+

AI agents running in our own production

2
Cloud regions, monitored 24×7
500+
Customers worldwide
17+
Countries served

How we build

Agents that act, inside guardrails you set

Everything we sell, we run ourselves first

Our sales team is prospected by our own agents. Our exam data is purged by our own retention agents. Our servers are watched by our own health monitor. You get software that has already survived contact with reality.

Your context, not the internet’s

Agents are grounded in your data, your policies and your tone. Generic models give generic answers — which is why most pilots stall before they reach production.

Auditable by design

Every action logged, every decision traceable. Built for regulators and boards, not just for demos.

Draft-and-approve by default

Anything touching money, contracts or a customer promise is prepared by the agent and approved by your person. Where an agent does act alone — deleting expired data, rebuilding an index — the action is reversible or logged.

The portfolio

Eight departments. Eight agent packs.

Packs are modular. Start with one, prove the number, expand. Nothing here requires a platform migration.

Sales

Revenue Pack

Your reps stop doing research, data entry and document assembly — and get back roughly a day a week to actually sell.

  • Prospect & enrich
  • Lead scoring
  • Cold outreach
  • Proposal & RFP
  • Quotation & SOW
  • Deal rescue
  • Meeting debrief
  • Tender war room

Marketing

Growth Pack

The output of a full content and SEO team at a fraction of the headcount — and visibility in AI search before your competitors realise it matters.

  • AI search visibility
  • SEO & ranking
  • Conversion (CRO)
  • Content engine
  • Competitor watch
  • Executive digest

Compliance

Retention Guardian

India’s DPDP Act makes “we kept it forever” a liability. This turns your retention policy from a document nobody follows into infrastructure that enforces itself — and cuts storage cost while doing it.

  • Policy-driven deletion
  • Tiered cold archive
  • Audit trail
  • Database log purge

IT & DevOps

Most monitoring tells you a server is up. Ours tells you whether the work actually got done — and fixes the database before users feel it.

  • Fleet activity monitor
  • Database optimizer
  • Index maintenance
  • Database firewall
  • Uptime & incident
  • Read-only query agent

Knowledge

Company Brain

A private retrieval engine over your documents, tickets, contracts and wikis. When someone resigns, their knowledge stays — and every answer cites its source document.

  • Private document retrieval
  • Cited answers
  • Self-hosted vector store
  • Full query audit log

Finance

Finance Pack

Shortens the cash cycle and stops silent leakage. The vendor spend audit alone usually pays for the pack in month one.

  • Receivables & collections
  • Pricing & discount control
  • Vendor & SaaS spend audit
  • GST & filing calendar

Engineering

Engineering Pack

Raises code quality without adding reviewers. Every pull request is reviewed before a human spends time on it, and production errors are clustered rather than dumped.

  • Automated code review
  • Exception & log triage
  • Self-healing bug loop
  • Dependency & CVE watch

Education & assessment

We operate assessment, admissions and document-verification platforms ourselves. These agents are built on domain knowledge no horizontal consultancy has.

  • Admission counselling
  • Document verification
  • Proctoring review
  • Question paper generation
  • Evaluation QA
  • Accreditation assistant

Engagement

From first conversation to running agent in six weeks

The same five stages every time, whichever pack you start with. You approve the shortlist before anything gets built.

  1. Discover

    Two workshops to map where time and money actually leak. We name the metric we intend to move.

  2. Prioritise

    Score candidate agents on value against effort. You approve a shortlist of two or three — never twenty.

  3. Build

    Two-week sprints against your real data in a sandbox. You see working software, not status reports.

  4. Deploy

    Into production with monitoring, logging, rollback and a named owner. Team training included.

  5. Operate

    We run and tune it under SLA and report the metric monthly — or we hand it over. Your choice.

Commercials

Three ways to engage

Readiness Sprint

Fixed fee · 2 weeks · credited against deployment

  • Process and data discovery
  • Prioritised agent roadmap
  • ROI model per agent
  • One working prototype on your data
  • Executive readout

Pack Deployment

Build fee plus monthly operate fee · priced on application

  • Choose any pack from the portfolio
  • Configured to your systems and policies
  • Deployed on your cloud or ours
  • Monitoring, logging and SLA included
  • Unlimited internal users — no per-seat cost
  • Quarterly tuning and expansion

Agent Partner

Annual retainer · dedicated capacity · priced on application

  • A standing agent engineering team
  • New agents built on demand
  • Full fleet operated under SLA
  • Quarterly business review with the board
  • Source code and IP transferred to you

Priced against a metric, not a timesheet. Every engagement is priced against a named business metric. If the metric doesn’t move, we fix it at our cost.

Questions

What buyers ask us first

How is this different from an AI pilot?

Every engagement ends with a container running in your production environment, monitored and owned — not with a strategy deck. We operate what we build, so there is always someone accountable for uptime rather than an agent that silently stops and is noticed weeks later.

How do you know a scheduled job actually did something last night?

Most monitoring reports that a server is up. Our Fleet Activity Monitor reports per-container proof of work — messages sent, files migrated, records purged, errors thrown — which catches the job that runs successfully while doing nothing at all. A backup that backs up an empty folder still exits zero.

We are already doing AI internally. What would you add?

The model is rarely the hard part. Monitoring, retries, audit logs, access control and someone on call when it breaks at 2am are what separate a pilot from production. If those are already in place and running, you may not need us — if they are not, that gap is the work.

Our data cannot leave our premises. Is that a problem?

That is our default rather than an exception. Agents deploy as standard containers on your infrastructure, your data never trains a public model, and the audit log is yours. Company Brain in particular is designed to be self-hosted with your own vector store and access controls.

What happens when an agent gets it wrong?

Every agent is draft-and-approve by default on anything touching money, contracts or customer-facing communication — the agent prepares it and your person approves it. Where an agent does act alone, such as deleting expired data or rebuilding an index, the action is either reversible or logged, and we show you the log.

How long before something is actually running?

Six weeks from first conversation to one agent live in production. Most engagements start with a two-week Agent Readiness Sprint, which ends with a prioritised roadmap, an ROI model per agent and one working prototype built on your own data.

Do we get locked in?

No. Agents run as standard containers on your infrastructure. If you end the engagement they keep running, and on the Agent Partner engagement the source code and IP transfer to you.

Pick one department. Give us six weeks.

We’ll deploy one agent against one metric you already care about. If it works, we scale it across the function.

Book an Agent Readiness Sprint

Or call +91 95525 86428

Book a demo

See it running on your process