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Leader in AI-First Product Engineering Read Full Article IT Managed & Outsourcing Contact Us
Recognized as a Leader in AI-First Engineering by Economic Times and backed by 5+ strategic partnerships, we deliver enterprise-ready, resilient end-to-end AI development services that scale seamlessly across departments and production environments.
Backed by deep expertise of certified AI engineers, data scientists, and MLOps specialists, we help your business identify high-ROI use cases, build secure and explainable AI systems, and operationalize them at enterprise scale.
Our Core Capabilities
Our decade long AI engineering
experience, validated in numbers
AI Solutions Backed by Proven Results
Leading Data Scientists & AI Engineers
Custom Models Built for Enterprise Impact
AI Integrated Across Business Workflows
Bespoke LLMs Tuned to Domain Needs
Industries Powered by AI Expertise
We help enterprises identify high-value AI use cases, assess data readiness, and build a clear adoption roadmap before development begins.
Find the Right AI Use Cases
Check If Your Data Is AI-Ready
Build the Business Case and ROI Plan
Set Up Ethical and Compliance Guardrails
We engineer AI products across the full lifecycle, from architecture design and model development to deployment, monitoring, and scaling.
Microservices-Based AI Architecture
Custom Model Training on AWS/Azure/GCP
A/B Testing for Model Performance
Auto-Scaling Infrastructure
Legacy-to-AI Product Migration
We build generative AI systems that create text, images, insights, and automated outputs using large language models and multimodal AI technologies.
GPT, Claude, and Llama Integrations
Document Q&A Using RAG
Image and Video Generation Pipelines
Content Personalization Engines
Hallucination Reduction Techniques
We build AI agents that understand context, automate multi-step tasks, and support real-time decision-making across enterprise systems.
Agentic Workflows for Finance, HR, or Ops
LangChain/AutoGen-Based Agent Builds
Email, Calendar, and CRM Task Automation
Approval Checkpoints for Sensitive Actions
Multi-Agent Collaboration Frameworks
We develop conversational AI systems that understand user intent, context, and sentiment across customer service, internal support, and operations.
AI Chatbot Development
Internal HR/IT Helpdesk Bots
Sentiment-Based Escalation Rules
Multilingual Support Coverage
CRM and Ticketing System Sync
We integrate AI capabilities into existing enterprise systems to improve automation, analytics, decision intelligence, and workflow performance.
Salesforce, SAP, and Oracle AI Plug-Ins
REST/GraphQL API Development
Legacy ERP Modernization
Real-Time Dashboard Feeds
EHR and Healthcare System Add-Ons
We build AI-powered cybersecurity systems that detect threats, identify irregularities, and protect sensitive enterprise data across AI and ML environments.
Insider Threat Detection Models
Fraud Pattern Recognition
Model Poisoning Prevention
SOC 2, GDPR, HIPAA Alignment
Automated Breach Response Playbooks
We build AI voice agents that support real-time conversations across customer service, sales, IVR, and operational workflows.
Call Center Voicebots
Multilingual Speech Recognition
Real-Time Call Transcription
Sales and Support IVR Flows
CRM-Linked Call Logging
We implement AIOps systems that analyze operational data, reduce alert noise, and help IT teams manage incidents faster.
Alert Deduplication and Suppression
Anomaly Forecasting Models
Automated Root-Cause Mapping
Self-Healing Scripts for Common Failures
Incident Timeline Reconstruction
We provide cloud-based AI services that help businesses access models, APIs, and hosted AI infrastructure without building everything from scratch.
Pre-Built Vision and NLP APIs
Dedicated Model Hosting Environments
Usage-Based Pricing Models
Multi-Tenant AI Infrastructure
Rapid API Onboarding
We develop intelligent RPA systems that automate repetitive tasks, connect business workflows, and improve process efficiency.
Invoice and Form Data Extraction
Cross-Platform Workflow Bots (SAP, Oracle, etc.)
Exception Queues for Manual Review
Rules Engine Plus AI Decisioning
Back-Office Task Bots (Payroll, Reconciliation)
We build AI copilots that support employees with contextual that support employees with contextual suggestions, knowledge search, task assistance, and operational decision-making.
Internal Wiki and Document Search
In-Workflow Suggestion Pop-Ups
Role-Specific Copilots (Sales, Support, Legal)
Meeting Notes and Summary Generation
Usage Dashboards for Adoption Tracking
Build AI platforms that embed predictive insights directly into business operations
Teachers were spending hours manually turning learning material into questions. It was slow, repetitive, and error-prone. Gurushala needed a way to structure content correctly, stick to academic taxonomies, and still keep educators in control.
We set up an AI workflow that reads documents and videos using NLP and OCR. Then it drafts questions with LLMs. Teachers review, tweak, and approve before anything goes live. It’s AI helping, not replacing, their judgment.
Travelers wanted quick answers without juggling apps or losing context. Tootle needed an assistant that could respond reliably via text or voice and make travel insights easy to digest.
Our role as an AI-powered software development company was to create an intuitive AI agent. We crafted a conversational agent that pulls live data, understands follow-ups, and replies through voice or text that summarizes results in a clear way so that the users can act fast.
KPMG teams relied on internal data to track performance, but accessing it meant navigating complex dashboards or writing SQL queries. For many business users, this slowed down routine decision-making.
KPMG leveraged our AI app development services to build an AI-powered data query bot that converts plain language questions into SQL queries, retrieves live data, and shows charts only when they help explain patterns or trends.
Americana Group's last-mile delivery was dragging down their food brands. They needed faster service and better coordination across their entire network.
We built a real-time logistics intelligence system that processed siloed operational data instantly, and used smart automation to automatically assign orders and deliver critical insights.
Our clients wanted to resolve inconsistent expense tracking and poor budgeting habits among millennials. They needed a smarter, more engaging solution, which could make financial management simple.
We built MUDRA, an AI-powered chatbot-based budget management platform that makes expense tracking simple and encourages better financial behavior.
MyExec saw how small businesses struggled with data-driven decisions but couldn't afford expensive consultants or deal with complicated processes.
Appinventiv developed an AI platform with a multi-agent RAG system that analyzes business documents and provides personalized, actionable advice for complex business challenges.
Vyrb set out to make Bluetooth wearables more social. Without a screen-free way to connect, users couldn't fully enjoy hands-free tech.
We built Vyrb, an AI-driven social audio platform made for Bluetooth wearables. It lets users send and receive voice messages hands-free. They stay connected on the go.
Flynas’ mobile app suffered from low engagement, a cluttered UI, and poor onboarding, leading to fewer downloads, reduced bookings, and revenue loss in a competitive airline market.
We rebuilt the app with a sleek UI/UX, integrated an AI-powered chatbot for easy bookings, and used DevOps for scalable, high-performance delivery, guided by market and competitor insights.
Don’t operate in the past. Let our industry experts design a bespoke AI strategy that addresses your specific operational bottlenecks and goals.
ISO/IEC 27001 (Information Security Management)
SOC 2 (Service Organization Control 2)
CCPA (California Consumer Privacy Act)
AI Ethics Guidelines (OECD, EU)
NIST AI Risk Management Framework
IEEE Standards for AI Systems and Applications
The EU AI Act
Explainable AI (XAI) Practices
ISO/IEC 9001 (Quality Management Systems)
ISO/IEC 42001 (AI Management System)
AI Model Transparency and Interpretability Standards
AI Algorithm Testing and Validation Guidelines
Model Training & Evaluation Frameworks
Edge AI Development Guidelines
AI Model Governance and Lifecycle Management
ISO/IEC 27001 (Information Security Management)
SOC 2 (Service Organization Control 2)
CCPA (California Consumer Privacy Act)
AI Ethics Guidelines (OECD, EU)
NIST AI Risk Management Framework
IEEE Standards for AI Systems and Applications
The EU AI Act
Explainable AI (XAI) Practices
ISO/IEC 9001 (Quality Management Systems)
ISO/IEC 42001 (AI Management System)
AI Model Transparency and Interpretability Standards
AI Algorithm Testing and Validation Guidelines
Model Training & Evaluation Frameworks
Edge AI Development Guidelines
AI Model Governance and Lifecycle Management
Our AI researchers, data scientists, and engineers bring practical enterprise experience and expertise to craft impactful solutions. These solutions are designed around predictive analytics, NLP, adaptive RAG systems, and real-time inference pipelines, and are tested against business KPIs to ensure they are performance-driven.
We develop AI platforms that expand along with your organization. These systems integrate with existing data estates, support streaming and batch workloads, and scale to fluctuations in data volume and user traffic. To ensure AI is responsive to real-world conditions, automated monitoring identifies performance drift, latency anomalies and operational bottlenecks.
Data quality drives AI performance. We pre-process and design features, reduce bias, and test models on domain-specific conditions. Interpretability layers and traceability protocols assure that the outputs of the models can be audited, consistent and that the business needs are met. This enables your business to have confidence in AI suggestions in managing operations.
Our top AI development services for enterprises are guided by policies such as the NIST AI Risk Management Framework (AI RMF 1.0) to manage risks in an organized manner, the AI Bill of Rights Blueprint to provide transparency and the protection of users, and the executive AI directives that govern the ethical deployment of AI.
From KFC and the Americana Group to Flynas, enterprises rely on our AI engineering depth, compliance readiness, and large-scale execution capability.
The India's Fastest-Growing Companies 2026 Recognised by TIME and Statista
Statista High Growth Companies APAC - 2026
Statista India's Growth Champions 2023
We build ML systems that learn from it, spot the patterns, and make smarter calls over time. The more data you feed, the better the systems perform.
Build custom Gen AI solutions that improve R&D, automate code generation, and produce hyper-personalized content at scale, ensuring your IP remains secure.
Develop autonomous AI agents capable of reasoning, planning, and executing multi-step tasks to enhance operational efficiency across complex environments.
Combine LLMs with secure enterprise knowledge bases to build RAG-powered AI systems that deliver accurate, context-rich responses grounded in your internal data.
Build intelligent RPA solutions that automate repetitive tasks, make processes smoother, reduce operational costs, and improve workforce productivity.
Transform visual data into strategic insights by developing computer vision systems that facilitate real-time object detection and automated quality control.
Power your enterprise platforms with NLP systems that deliver advanced semantic search and intent classification.
Your business has probably got mountains of data. We dig into it, implement ETL pipelines and data lakes (Snowflake/Databricks), and show you how to use it.
Cloud's great until you need split-second decisions. We put AI directly on your devices, including factory floors, delivery trucks, wherever lag time would hamper the work.
Build intelligent sentiment analysis solutions capable of reading between the lines of what customers say and feel.
Integrate explainable AI into business ecosystems to ensure transparency, interpretability, and trust in your decision-making.
Develop energy-efficient, green AI platforms that reduce environmental impact while supporting responsible and eco-conscious software development.
From vector databases to cloud-native MLOps pipelines, we design AI platforms that handle complex workflows, massive datasets, and real-time intelligence.
The cost of developing an AI app can range anywhere between $40,000 to $300,000. The price really depends on the level of complexity you require, the machine learning models you need, and the extent of the integration work.
Connect with solution architects of a trusted custom AI development company like us if you want a detailed breakdown for your specific project.
The timeline for AI-based software development services depends on your project's complexity and requirements. Straightforward applications typically take 3 to 6 months to complete. More sophisticated AI solutions with advanced features generally require 10 to 18 months for full development and deployment.
When the off-the-shelf options just don't work for what you need. Our top AI development services for enterprises come to the rescue if you've got unique problems that regular solutions can't solve. You'll get better operations, make smarter use of your data, and gain insights unavailable to your competition.
Finding the right AI development company is essential for ensuring success. However, here are a few tips to help you find the right partner:
Our expert artificial intelligence development services keep everything locked down. We encrypt data, control who gets access, and run security checks regularly. We also follow all the privacy laws and strictly adhere to all industry standards.
Security isn't optional for us; we check everything against threats and vulnerabilities. Your data and project components stay safe the whole time.
Yes, as a reliable artificial intelligence development company, we do this all the time. We'll make sure the new AI application integrates well with your existing systems.
The RAG framework gives you some real advantages with AI integration, including better risk management, clearer team communication, and more transparency overall. Your stakeholders can make informed decisions, change priorities when they need to, and the whole AI integration process goes smoothly with your existing systems.
We remain your AI development agency even after the deployment process. Our experts offer dedicated, ongoing support to keep your AI-driven custom software development for enterprises performing at its best and scaling seamlessly. Here’s how we make it work:
