Antier Intelligence

Enterprise AI Solutions

We build AI that connects to your data and tools - built to run in production, not demos.

Explore AI Services

Delivering Solutions to Market Leaders Worldwide

15+

Years of Experience shaping strategies with industry insight.

2000+

Global Clients highlighting our worldwide presence and long-term partnerships.

1000+

Projects Delivered reflecting consistent performance and trusted delivery.

700+

Experts bringing together diverse skills to deliver impactful solutions.

We Deliver AI That

Builds systems

Talks & acts

Reads & processes

Sees

Predicts

Runs in workflows

Stays controlled

Our Service Catalogue

Our purpose-built AI-powered solutions are engineered to tackle complex business problems. Antier Intelligence applies specialized AI domains to drive measurable impact across operational, analytical and decision-making challenges.

1 AI Strategy &
Value Engineering

We align business objectives with AI software development services to identify high-value opportunities and define a measurable ROI.

Use-case discovery
ROI framing and delivery roadmap
Data readiness and risk checks

2 Custom AI & GenAI Application Development

We build production-ready AI applications tailored to enterprise data, workflows and domain requirements.

AI applications on enterprise data
RAG and domain model modules
Computer vision (OCR, detection)

3 AI Agents &
Copilots

Our AI-powered solutions deploy intelligent agents and copilots that automate workflows and support role-based decision-making.

Task agents for workflows
Role-based copilots by function
Approvals, escalation, guardrails

4 Conversational AI -
Chatbots, Voicebots & Avatars

We deliver conversational AI experiences that enable natural, contextual interactions across enterprise and customer touchpoints.

Chat/voice across channels
Knowledge grounding and routing
Agent-assist and summarisation

5 Intelligent
Document Processing

We transform unstructured content into actionable intelligence using advanced AI software development services.

Extract, classify and validate
Enterprise search and Q&A
Review queues for exceptions

6 Predictive Analytics & Decision Intelligence

Our AI development services enable data-driven decisions through forecasting and intelligent recommendations.

Forecasting and scoring models
Anomaly alerts and signals
Recommendations and insights

7 AI Integration, Data Engineering & MLOps

AI ensures seamless deployment by integrating models with enterprise systems and enabling reliable, scalable operations.

Pipelines, vector DBs, APIs
Deploy, monitor, lifecycle ops
Reliability and performance

8 AI Security, Governance & Responsible AI

Our AI-powered solutions are built with security, compliance and ethical oversight at every stage of development.

Privacy, access and audit trails
Evaluation and safety guardrails
Responsible AI oversight

Enterprise-grade AI development services built for scale, security and measurable impact.

Flagship Offerings

Enterprise Copilot Stack

Example Copilots

Presales Copilot: RFP and email intake, requirement extraction, draft responses, follow-ups
Sales Copilot: Lead qualification support, meeting summaries, next-step automation
Support Copilot: Ticket triage, response drafting, knowledge-grounded guidance
Operations Copilot: Reporting assistance, approvals, SOP guidance, workflow acceleration
HR Copilot: HR helpdesk, policy assistance, onboarding support
Finance Copilot: Document understanding, reconciliation support, anomaly detection
Leadership Copilot: KPI summaries, forecasting snapshots, decision support

Deployment Scale

Team / Function Level: Single-role copilots for one workflow
Department Level: Multi-copilot rollout with shared knowledge
Enterprise Level: Unified copilot ecosystem with common controls
Multi-Enterprise: Replicate across units, regions, and processes

Intelligent Document Processing (IDP) Stack

Example Workflows

Invoice Processing: Header & line-item extraction, 2/3-way matching, anomaly detection
Contract Intelligence: Clause extraction, obligation tracking, risk & compliance flags
Form & Application Processing: Structured data capture, validation rules, auto-routing
KYC & Compliance Documents: Identity extraction, cross-verification, audit-ready logs
Reports & Statements: Financial and operational data extraction, normalization
Email & Attachment Ingestion: Auto-classification, document triage, workflow triggers
Validation & Exception Handling: Human-in-the-loop review, confidence scoring
Enterprise Integrations: ERP, CRM, DMS, BPM, data lakes and warehouses

Deployment Scale

10GB – 100GB: Department-level automation
100GB – 1TB: Multi-team or functional rollout
1TB – 10TB: Enterprise-wide document workflows
10TB – 100TB: Large, regulated enterprises
100TB+ & Beyond: Platform-scale, multi-year document archives

Multi-Agent Enterprise Systems

Example Agent Roles

Planner Agents: Task decomposition, dependency mapping, execution sequencing
Reasoning Agents: Policy interpretation, business logic, contextual decisioning
Execution Agents: API calls, system actions, workflow orchestration
Data Agents: Retrieval, validation, enrichment across enterprise data sources
Monitoring Agents: Quality checks, anomaly detection, SLA enforcement
Compliance & Guardrail Agents: Access control, policy enforcement, audit logging
Human-in-the-Loop Agents: Approvals, escalations, feedback incorporation

Deployment Scale

Single Workflow: Agent orchestration for one end-to-end process
Cross-Workflow: Shared agents across multiple connected processes
Enterprise-Wide: Standardised controls, monitoring, and audit across teams
Ecosystem Scale: Reusable agent patterns integrated across systems

Flagship Offerings

A modular AI development stack for building governed enterprise copilots across data, applications and workflows, designed to augment human decision-making and execution at scale.

Example Copilots

Presales Copilot: RFP and email intake, requirement extraction, draft responses, follow-ups
Sales Copilot: lead qualification support, meeting summaries, next-step automation
Support Copilot: ticket triage, response drafting, knowledge-grounded guidance
Operations Copilot: reporting assistance, approvals, SOP guidance, workflow acceleration
HR Copilot: HR helpdesk, policy assistance, onboarding support
Finance Copilot: document understanding, reconciliation support, anomaly detection
Leadership Copilot: KPI summaries, forecasting snapshots, decision support

Deployment Scale

Team / Function Level: Single-role copilots for one workflow
Department Level: Multi-copilot rollout with shared knowledge
Enterprise Level: Unified copilot ecosystem with common controls
Multi-Enterprise: Replicate across units, regions, and processes

A scalable AI document intelligence solution for extracting, classifying, validating and operationalizing unstructured enterprise documents with governance and compliance built in.

Example Workflows

Invoice Processing: header & line-item extraction, 2/3-way matching, anomaly detection
Contract Intelligence: clause extraction, obligation tracking, risk & compliance flags
Form & Application Processing: structured data capture, validation rules, auto-routing
KYC & Compliance Documents: identity extraction, cross-verification, audit-ready logs
Reports & Statements: financial and operational data extraction, normalization
Email & Attachment Ingestion: auto-classification, document triage, workflow triggers
Validation & Exception Handling: human-in-the-loop review, confidence scoring
Enterprise Integrations: ERP, CRM, DMS, BPM, data lakes and warehouses

Deployment Scale

10GB – 100GB: Department-level automation
100GB – 1TB: Multi-team or functional rollout
1TB – 10TB: Enterprise-wide document workflows
10TB – 100TB: Large, regulated enterprises
100TB+ & Beyond: Platform-scale, multi-year document archives

A production-grade multi-agent AI system where specialized agents collaborate to plan, reason and execute complex enterprise workflows under policy and governance constraints.

Example Agent Roles

Planner Agents: task decomposition, dependency mapping, execution sequencing
Reasoning Agents: policy interpretation, business logic, contextual decisioning
Execution Agents: API calls, system actions, workflow orchestration
Data Agents: retrieval, validation, enrichment across enterprise data sources
Monitoring Agents: quality checks, anomaly detection, SLA enforcement
Compliance & Guardrail Agents: access control, policy enforcement, audit logging
Human-in-the-Loop Agents: approvals, escalations, feedback incorporation

Deployment Scale

Single Workflow: Agent orchestration for one end-to-end process
Cross-Workflow: Shared agents across multiple connected processes
Enterprise-Wide: Standardised controls, monitoring, and audit across teams
Ecosystem Scale: Reusable agent patterns integrated across systems

A Practical Path From Use Case to Deployed AI

Start with one workflow. Ship a working system. Then scale with control.

Discover

Pick one workflow, define success metrics, map systems and data.

Build

Develop AI grounded in your business context and knowledge.

Deploy

Integrate into real tools with access control and monitoring hooks.

Improve

Evaluate performance, iterate, and expand across workflows.

Real AI success is achieved through scalable deployment enabled by expert AI development services

AI is easy to demo. Hard to deploy

Most teams don’t struggle with ideas - they struggle with integration, reliability, and control. AI pilots often break when exposed to production data, legacy systems, and real-world usage patterns, creating gaps between promise and performance.

Without strong governance and operational readiness, even advanced models fail to deliver consistent business impact.

Pilots stall in production

Promising demos don’t survive real users, systems, integrations, and edge cases.

Knowledge is scattered

Docs, tickets, and tribal context stay disconnected from critical day-to-day work.

Repeat work drains teams

Support and operations lose time on the same drafting, triage and updates.

Data is not Intelligence-ready

Data exists, but it’s messy, inconsistent, or inaccessible for reliable outcomes.

Decisions stay reactive

Without forecasting and early signals, teams respond late and optimize slowly.

Security Bottlenecks Scale

Access controls, audit needs, and approvals slow deployments to a crawl.

Compliance-First AI Product Development

We design AI products with security, governance and regulatory alignment embedded from day one, thus enabling enterprises to deploy and scale AI systems with confidence.

Governance & Risk Control

We apply structured governance frameworks that ensure AI systems remain transparent, explainable, auditable & aligned with enterprise risk and regulatory expectations.

Data Privacy & Security by Design

Our AI software development integrates encryption, access controls and secure data pipelines to protect sensitive data and meet global privacy regulations.

Responsible AI & Ethical Safeguards

We embed bias detection, explainability layers and human oversight to ensure fair, ethical and trustworthy AI-driven decision-making.

Operational Compliance & Monitoring

AI systems are continuously monitored for drift, anomalies and compliance deviations to maintain accuracy, accountability and performance over time.

Industry & Regulatory Alignment

Our AI development services align with industry-specific regulations across healthcare, finance, data protection, cloud security and the public sector.

Ensure Your AI Is Secure, Compliant & Trustworthy

Industries We Serve

We provide AI software development services across diverse industries

BFSI / FinTech

Healthcare

Retail & eCommerce

Logistics & Supply Chain

Manufacturing

Real Estate & Construction

Travel & Hospitality

Education / EdTech

Media & Entertainment

Telecom

SaaS / Technology

Public Sector (where applicable)

Success Stories

Real AI deployments. Measurable outcomes.