Platforms  ·  BOT iQ

Smarter automation starts here.

An agentic AI platform built to give enterprises the power to scale intelligently, with complete flexibility and autonomy — one API, a library of agents, and the model of your choosing, running inside your own environment.

YOUR APPLICATIONSWeb appsMobile appsERPVirtual agentsRPA botsBOT iQ APIAGENT LIBRARY · DEPLOYED IN YOUR ENVIRONMENTDocument ProcessingClassificationData ExtractionKnowledge SearchLanguageImage ProcessingAction agentsAgent FlowMULTI-LLM · YOUR CHOICE OF MODELOpenAIAnthropicGoogleOpen sourceselected in real time against live data and workloadone API · many agents · no ecosystem lock-in

01 — What it is

One API, not another ecosystem to join

Unlike traditional solutions that lock you into a single RPA or automation ecosystem, BOT iQ makes one or many agents available through a unified API — a modular, adaptable and streamlined path to intelligent automation.

A conventional AI platform

You adopt their ecosystem

Agents live in the vendor's cloud, the model is whichever one they resell, and your data leaves your estate to be processed. Extending it means waiting for their roadmap.

  • Single-vendor model, single-vendor pricing
  • Data processed outside your boundary
  • Integration on their terms
  • Switching cost grows with every use case

BOT iQ

You call an API, we run where you say

Agents can be deployed standalone inside your environment. Your applications reach them through one interface, and the model underneath is a configuration choice you make, not one we make for you.

  • Deployable in your cloud or data centre
  • Any application can call it — web, mobile, ERP, RPA, virtual agents
  • Model-independent by design
  • Agents composed, not rebuilt, for each new process

02 — Deployment

Standalone agents, inside your boundary

For most enterprises the question is not whether an agent can do the job. It is whether the documents and records it reads are allowed to leave. BOT iQ answers that by deploying into your environment rather than asking you to send data to ours.

Deployed in your environment

Agents run standalone inside your cloud or data centre, under your identity, network and access controls. Your documents stay where your policy says they must.

Enterprise multi-tenancy

Enterprise-grade architecture for secure, scalable multi-tenant management — separate business units, separate customers, separate data.

Seamless integration

Effortless connectivity with applications, bots and RPA systems. Anything that can call an API can call an agent.

Agent Flow Designer

Fully customisable workflows for building complex agent interactions, without writing the orchestration from scratch each time.

Prompt Builder

Ready-to-use templates that accelerate agent creation and deployment, and keep prompt quality consistent across teams.

Proprietary algorithms

Automated data transformation and optimisation before the model sees it — quick-context completion and deep-context embedding, plus rule-based customisation.

03 — The model layer

Multi-LLM, by design

Leverage the best from OpenAI, Anthropic, Google and leading open-source models. The model is a setting, not an architectural commitment — which matters, because the best model for a task changes faster than any enterprise can re-platform.

Best model per taskA classification job, a long-document extraction and a conversational assistant do not need the same model. Each agent can be pointed at the one that suits it.
Real-time selectionIntelligent model selection based on live data and workload demands, rather than a static choice made at build time.
Open-source where it fitsWhere data sensitivity or unit economics argue for a self-hosted model, that is a supported option rather than an exception.
No re-write when models changeYour agents, prompts and flows survive a model swap. The cost of moving is a configuration change, not a project.

04 — The library

Agents already built, ready to compose

Agentic AI components that plug into diverse business processes for task automation and enhanced efficiency — goal-oriented agents able to leverage industry-standard LLMs optimally.

Document Processing

  • Document Data Extractor
  • Docket Data Extractor
  • Document Redactor
  • Large Document Extractor
  • Split Document
  • Split Text
  • Handwriting Detector
  • FR Structured Text Extractor

Classification

  • Deep Context Classifier
  • Quick Context Classifier
  • Rule-based Classifier
  • Data Code Reader

Data Extraction

  • Raw Data Extractor
  • Tabular Data Extractor
  • Quick Context Extractor
  • Rule-based Extractor

Knowledge Search

  • Document Search
  • Query Search
  • Search & Summarise

Language & Action

  • Translator
  • Summariser
  • Sentiment Analyzer
  • Generator
  • API Executioner
  • Query Executioner
…and many more, extended for every engagementImage processing agents and the full library sit alongside these.

05 — Architecture

Four layers, one interface

Your IT landscape talks to BOT iQ through its APIs. Everything below that is ours to run and yours to govern.

01Enterprise IT landscapeWeb and mobile applications, ERPs, virtual agents, RPA bots
02BOT iQ APIsOne interface for one agent or a whole flow
03Configurable agentsThe library, plus Agent Flow and the prompt library
04BOT iQ core engineProprietary algorithms, rule-based customisation, and the model layer

Completion

Quick-context processing where the answer is in front of the model already.

Embedding

Deep-context retrieval for the cases where it is spread across a corpus.

Rule-based customisation

Your business rules applied to what the model returns, before anything acts on it.

06 — In production

Efficiency proven, by people who use it daily

BOT iQ is not a pilot. It runs live processes for enterprises across manufacturing, real estate, professional services and shared services — and the numbers below come from those deployments.

2 Lakh+document pages processed to date
85%less manual intervention in invoice processing
60–70%faster supplier onboarding
80%of a VAT filing process automated

Where it is running

A selection of live deployments.

Invoice processingfire protection manufacturer, Middle East
AI-driven classification, invoice–PO matching and inter-company transfer allocation, integrated with Oracle. Processing time fell from 20–25 days to 6–8, with 85% less manual intervention.
Supplier onboardingreal estate enterprise, India
AI validates supplier submissions against government APIs and flags discrepancies; RPA posts approved records to SAP. Onboarding time down 60–70%, with a full audit trail.
VAT filingaudit and taxation firm, UAE
Invoices classified against UAE taxation rules — non-recoverable, exempt sales, out-of-scope, standard and zero rated — with holiday, missing-invoice and VAT calculation checks. 201 summary files in minutes rather than days.
Supplier assistantreal estate enterprise, India
Context-aware answers on onboarding, eRFP bidding, GRN and SES creation, invoice and payment status and PO tracking, with real-time data pulled from enterprise applications.
HR Buddyemployee support
Instant, personalised HR responses inside Microsoft Teams, integrated with HRMS for verified answers and documents such as address proof letters.

Document types already handled

Making sense out of documents — a few examples of what has come through.

InvoicesPurchase ordersQuotationsReceiving notesCourier receiptsInsurance policiesBOE checklistsLab forms & reportsEducational certificatesPassports & driving licencesTax certificates & government IDsLand recordsContractsCustom documents

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