Generative AI Services
Transforming Strategy and Intelligence
Generative AI Services
Transforming Strategy and Intelligence
Proven Success Driving Enterprise-Grade AI Adoption
Generative AI Services
Retrieval-Augmented Generation (RAG) Systems
Enterprise-grade RAG systems combine LLMs with vector databases for real-time answers while keeping sensitive data secure.
Generative AI Chatbots & Virtual Assistants
AI assistants handle support, sales, and workflows with multi-turn context, tool integration, and measurable outcomes.
Document Understanding & Contract Analysis
NLP, OCR, and LLMs extract and summarize contracts, invoices, and records, highlighting risks and compliance gaps.
Generative Media Creation
AI tools generate images, short videos, and voice content for marketing, training, and entertainment with brand consistency.
AI for Data Analysis
Advanced models analyze structured data, detect anomalies, and deliver insights for reporting, prediction, and monitoring.
Voice & Speech AI
Speech-to-text, voice cloning, translation, and assistants for multilingual interactions, call analytics, and accessibility.
Workflow Automation with AI Agents
Intelligent agents perform onboarding, compliance, and IT tasks autonomously using APIs, triggers, and workflow automation.
Custom LLM Development & Fine-Tuning
Develop and fine-tune LLMs with OpenAI, LLaMA, Falcon, and Mistral for reliable, domain-specific, context-aware AI.
Ethical AI & Governance
Implement frameworks for bias mitigation, explainability, audits, and compliance to ensure transparent and responsible AI.
Why Clients Prefer Techmango
Proven enterprise Generative AI Development delivery with measurable and verifiable impact
Custom models aligned to domain needs, compliance, and business goals
Accelerators and prebuilt frameworks that speed production deployment
End-to-end ownership: data, models, deployment, monitoring, and support
Human-centered design and robust governance for responsible AI adoption
Tech Stacks
Agentic Frameworks
Model Providers
Vector Databases
Cloud ML Services
Data Processing & ETL
RAG & Search Frameworks
What You Get With Techmango
End-to-end AI consulting services covering data preparation, model selection, fine-tuning, deployment, and ongoing optimization for measurable, verifiable impact.
Custom generative AI software development and fine-tuned LLMs built for finance, healthcare, retail, and manufacturing to ensure domain accuracy and regulatory alignment
Tight integration with ERP, CRM, HRMS and custom APIs to embed intelligent automation with low disruption and clear operational gains.
Cloud-native AI app development and platform rollouts on AWS SageMaker, Azure AI and GCP Vertex AI with CI/CD, autoscaling, resilience, and cost-managed infrastructure.
Stories Of Transformation With Techmango Generative AI
David R
CIO
Generative AI sounded complex, but Techmango made it simple. Now, our teams make decisions faster with clarity we never had before.
Dico user, 2025.07.10
Priya K
Customer Success Lead
Our customers feel heard like never before. The AI-powered conversations are natural, warm, and actually helpful.
Dico user, 2025.03.02
John L
IT Director
I was worried about security, but Techmango earned our trust. They built a system that keeps our data safe while making life easier.
Dico user, 2025.01.02
Recognitions that Define Techmango
Frequently asked questions
How quickly can Generative AI deliver ROI?
ROI depends on use case, data readiness, and scale. Pilots often deliver measurable value within 6–12 months; enterprise rollouts focus on sustained impact, risk controls, and clear KPI tracking. ASAP
How do you handle security and regulatory compliance?
Security and compliance are core to each deployment. We implement data governance, encryption, access controls, bias detection, explainability, audit trails, and align with GDPR, HIPAA, ISO standards.
How will Generative AI be connected to existing systems?
Enterprise integration uses APIs, connectors, and pipelines to link LLMs, RAG systems, vector databases, data platforms with ERP, CRM, HRMS – delivering controlled, auditable access to corporate data.
What should we expect on costs and budgeting?
Costs depend on scope, model selection, and cloud choices. Budgets include data engineering, fine-tuning, compute, observability, storage, and support. Recommend phased, cost managed deployment plans.
What organizational changes enable successful adoption?
The successful adoption of Generative AI will require executive sponsorship, cross-functional teams, quality datasets, established KPIs, governance and a series of iterative pilots. Your investment in training and change management will not only increase adoption but will also yield measurable value- your ROI
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