Strongly focused on building intelligent, scalable systems for modern enterprises. From custom AI software development to generative AI and LLM solutions, we design and deploy secure, high-performance applications aligned with real business objectives.
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We’ve delivered AI systems that solve real problems, improve efficiency. And adapt as businesses grow. From early-stage ideas to full-scale deployments.
AI at Mpiric, a core part of the system. That’s where we approach things differently. At Mpiric, we begin with the system level understanding, how your current workflows run, where data comes from, and where decisions actually happen. includes preparing usable data, defining clear outputs, and deciding how the AI will interact with your existing infrastructure.
We design AI systems that fit into your existing infrastructure—whether it’s integrating with CRMs, ERPs, or custom platforms. From LLM-based applications and conversational AI to process automation and predictive systems, everything is built with performance, security, and scalability in mind.
Our goal is simple: AI should reduce complexity. It should support real operations, not just exist as a feature. That’s why we focus on building solutions that are usable, adaptable, and aligned with how your business actually functions.
Client Satisfaction
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AI Models Deployed
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We work across the full lifecycle from consulting and development to deployment and optimization so the solutions actually work in production. Whether it’s building LLM-based applications, training machine learning models, or integrating AI into your existing systems
AI
Consulting
AI
ConsultingWe assess your data maturity, map AI-ready processes, and build a prioritised roadmap with clear ROI milestones before a single model is trained.
Consulting
AIConsultingWe assess your data maturity, map AI-ready processes, and build a prioritised roadmap with clear ROI milestones before a single model is trained.
AI Software
development
AI Software
developmentEnd-to-end custom AI software engineered for enterprise scale from intelligent automation tools to fully integrated AI-powered business applications.
development
AI SoftwaredevelopmentEnd-to-end custom AI software engineered for enterprise scale from intelligent automation tools to fully integrated AI-powered business applications.
Generative AI
solutions
Generative AI
solutionsCustom generative AI systems built on leading LLMs content generation, document intelligence, code assistance, and multimodal AI tailored to your workflows.
solutions
Generative AIsolutionsCustom generative AI systems built on leading LLMs content generation, document intelligence, code assistance, and multimodal AI tailored to your workflows.
LLM
Development
LLM
DevelopmentWe develop, fine-tune, and deploy large language models on your proprietary data giving your business AI that speaks your domain, not just general knowledge.
Development
LLM DevelopmentWe develop, fine-tune, and deploy large language models on your proprietary data giving your business AI that speaks your domain, not just general knowledge.
Conversational AI & Chatbot
Conversational AI & ChatbotIntelligent conversational agents for customer support, internal operations, and sales built to handle real enterprise complexity, not just FAQs.
Conversational AI & ChatbotIntelligent conversational agents for customer support, internal operations, and sales built to handle real enterprise complexity, not just FAQs.
Data Annotation and labeling
Data Annotation and labelingHigh-accuracy data annotation and labelling pipelines that feed your AI models with clean, structured, domain-specific training data at enterprise scale.
Data Annotation and labelingHigh-accuracy data annotation and labelling pipelines that feed your AI models with clean, structured, domain-specific training data at enterprise scale.
There are hundreds of companies calling themselves AI development companies. Here is what makes Mpiric different, and why it matters to your project outcome.
Strongly focus on building AI systems that are practical, scalable, and designed for production from the start. Our approach combines strong engineering with real-world understanding so the solutions don’t just work in theory, they work where it actually matters. Here is what makes Mpiric different, and why it matters to your project outcome.
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We design AI systems to work with your actual workflows, data, and tools so they integrate smoothly instead of creating friction.
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Good AI starts with good data. We focus on data quality, model tuning, and validation to ensure consistent and reliable outputs.
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We don’t build demo models. Every solution is designed for real-world deployment, scalability, and long-term usage.
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From generative AI to LLM-based applications, we build systems that understand context and deliver meaningful results.
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AI solutions are built with proper architecture—so they can scale, adapt, and evolve without breaking over time.
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AI is never static. We monitor, refine, and improve models based on real usage to keep performance aligned with business needs.
What is the difference between an AI development company and a general software development company?
A general software development company builds applications databases, interfaces, business logic. An AI development company builds systems that learn, reason, and improve from data. At Mpiric Software, we are both.
Our AI engineers have deep experience in machine learning, LLM integration, RAG architectures, and MLOps built on top of over a decade of enterprise software delivery. That combination AI expertise inside a proven software engineering firm is what makes production-grade AI integration possible without rebuilding your entire technology stack.
Agentic AI refers to AI systems that can independently plan, make decisions, and execute multi-step tasks rather than simply responding to a single prompt. Examples include AI agents that autonomously research, draft, and send reports, or agents that monitor inventory and trigger procurement workflows without human input.
If your business has complex, multi-step operational processes that currently require significant human coordination, agentic AI is worth evaluating. Mpiric Software builds agentic AI systems using frameworks like LangChain, AutoGen, and CrewAI designed for enterprise reliability, not experimental use.
Traditional AI and machine learning models are built to classify, predict, or detect they answer questions based on patterns in historical data. Generative AI creates new content text, code, images, structured data based on learned patterns.
For enterprise use, generative AI powers applications like document summarisation, intelligent contract drafting, AI-assisted customer communication, code generation, and knowledge base automation. Mpiric Software builds custom generative AI solutions using leading models (GPT-4, Claude, LLaMA, Gemini) fine-tuned and grounded on your proprietary data through RAG and fine-tuning pipelines.
Timeline depends on project scope and data readiness. A focused AI chatbot or document intelligence tool for a well-defined use case typically takes 6 to 12 weeks from discovery to deployment. A full generative AI platform with custom LLM fine-tuning, RAG pipelines, and enterprise integrations typically runs 3 to 6 months.
At Mpiric Software, we begin every engagement with an AI Readiness Assessment that gives you a realistic, milestone-based timeline before development begins so you are never surprised mid-project.
Yes and this is one of our core capabilities. Most enterprises cannot afford to replace functioning infrastructure to adopt AI. Mpiric Software specialises in integrating AI systems into existing stacks whether that is a custom ERP, Salesforce, SAP, a proprietary CRM, or a bespoke web platform.
We use API-first architectures, secure middleware layers, and cloud-native deployment to ensure AI capabilities are added without disrupting current operations. We have delivered AI integrations across Healthcare, Manufacturing, Retail, and FinTech environments with complex legacy system requirements.
Data security is a non-negotiable requirement in every AI project we deliver particularly for clients in Healthcare, FinTech, Legal, and Insurance. We implement end-to-end data encryption, role-based access controls, secure model training environments, and compliance-aligned data handling practices.
For clients with strict data residency requirements, we support on-premise or private cloud deployment of AI models ensuring your data never leaves your controlled environment. All engagements are governed by NDAs and can be structured to meet GDPR, HIPAA, and sector-specific compliance requirements.
Yes and we consider post-launch support a core part of AI development, not an optional add-on. AI models degrade over time as real-world data distributions shift a phenomenon called model drift.
Mpiric Software provides structured MLOps support, including model performance monitoring, retraining pipelines, and continuous optimisation.
Our clients describe our post-launch commitment as one of our strongest differentiators you can read verified reviews on our Clutch profile at clutch.co/profile/mpiric-software.
Whether you are evaluating AI for the first time or scaling an existing initiative, our team will give you a direct, honest assessment of what is possible and what it will take to get there.
