Artificial Intelligence (AI) and Machine Learning (ML) are transforming how businesses operate — from automating manual workflows to delivering real-time insights and creating intelligent digital products. At TAS, we specialize in AI/ML consulting and end-to-end implementation, helping startups and enterprises turn complex data into actionable intelligence. Whether you’re building an AI-first product or looking to integrate machine learning into your existing systems, we bring the technical expertise and business strategy to make it happen.
Unlock smarter decisions, faster operations, and future-ready products with tailored AI/ML solutions.
Why AI/ML Matters Now
Whether you want to automate repetitive processes, derive insights from large datasets, build intelligent products, or personalize customer experiences, AI/ML opens the door to high-impact transformation.
At TAS, we help you move beyond the hype with real, actionable AI/ML implementation — rooted in strategy, backed by data, and tailored to your business.
Our AI/ML Capabilities
We offer end-to-end consulting, design, training, and deployment services for AI/ML systems, built on the latest advancements in data science and GenAI. From predictive models to LLM-powered applications, we help you bring advanced AI to production.
✅ AI/ML Strategy & Roadmapping
Define the right use cases, select the right models, and plan your infrastructure for long-term scalability. We help you align AI outcomes with business ROI.
✅ AI Agents, GPT & LLM Integration
Integrate GPT, OpenAI, and custom LLMs into your apps with TAS — from intelligent chatbots to RAG systems and AI-powered automation, we build real-world AI solutions that scale.
✅ Custom Model Development & Training
We build, fine-tune, and deploy supervised and unsupervised models — tailored to your unique data, goals, and domain. From tabular to time-series, we handle it all.
✅ RAG Systems & Longchain Development
Build custom GPTs that answer using your data — TAS combines RAG systems with LangChain to create secure, intelligent AI assistants powered by your documents, databases, and workflows.
✅ AI Chatbots and Voice Assistants
Build intelligent, multilingual AI chatbots and voice assistants with TAS — powered by GPT, Whisper, and LangChain to deliver seamless conversations across web, mobile, and voice.
✅ Hugging Face Transformers
Build custom NLP and LLM solutions with Hugging Face Transformers — TAS fine-tunes, deploys, and integrates models like BERT, LLaMA, and Mistral for scalable, domain-specific AI.
✅ Large Language Models (LLMs)
Fine-tune and integrate LLMs like GPT, Mistral, Llama, Claude, and open-source models into your workflows. From prompt engineering to full-stack apps, we deliver LLMs that work at scale.
✅ Vector Databases & Embeddings
Build semantic search, RAG (Retrieval Augmented Generation), and AI assistants using vector databases like Pinecone, Weaviate, Chroma, and Qdrant — connected to your internal data.
✅ Generative AI Integration
Automate content, code, images, or conversations using GenAI. We’ve built intelligent systems powered by GPT-4, DALL·E, and custom multimodal models.
✅ Large Language Models (LLMs)
Fine-tune and integrate LLMs like GPT, Mistral, Llama, Claude, and open-source models into your workflows. From prompt engineering to full-stack apps, we deliver LLMs that work at scale.
✅ Computer Vision (CV)
Detect, classify, and analyze visual data. From healthcare imaging to industrial inspection and OCR, we create robust CV systems using the latest architectures.
✅ AI-Powered Process Automation
We combine AI with automation tools to optimize operations — from invoice processing and CRM updates to full workflow orchestration.
Use Cases We’ve Solved
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📋 Multilingual Medical Transcription Platform
Automatically transcribed and translated doctor-patient conversations across Indian languages, reducing manual work and improving accuracy. -
📈 ML-Based Liquidity Scanner for Yield Farming
Developed a predictive model to track high APY opportunities in DeFi across chains like Solana, Sui, and EVM — used in our in-house crypto automation tools. -
🤖 Voice-to-Text Rural Support System
Built a system that listens to rural helpline queries, processes them using AI, and delivers voice-based responses in local languages, reducing response time from 12 hours to 3 minutes.
Our AI/ML Tech Stack
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Languages & Frameworks: Python, TensorFlow, PyTorch, scikit-learn, LangChain
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Data & Pipelines: Pandas, NumPy, Airflow, MLflow, DVC
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LLMs & GenAI: OpenAI, Anthropic Claude, Mistral, Ollama, Llama, Whisper
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CV & NLP: Hugging Face, spaCy, OpenCV, NLTK, Tesseract
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Infra & Deployment: Docker, Kubernetes, AWS SageMaker, GCP Vertex AI, Streamlit
Why TAS for AI/ML?
At TAS, we combine AI expertise with deep product engineering skills. We don’t just build models — we make sure they work in real-world systems. From custom pipelines to intuitive UIs and dashboards, we deliver full-stack AI/ML solutions that your team can adopt and scale.
✅ Strategy + Execution
✅ Fast Iteration Cycles
✅ AI-First Product Thinking
✅ Global Clients Across Industries
❓ AI/ML Consulting & Implementation – FAQs
Q1. What services are included in AI/ML consulting and implementation?
We provide end-to-end AI/ML services — from identifying business use cases and building proof-of-concept models to full-scale implementation, integration with your existing systems, and ongoing optimization. Our expertise spans predictive analytics, natural language processing (NLP), computer vision, recommendation engines, and generative AI.
Q2. Why should I choose TAS for AI/ML consulting?
With 15+ years of experience in AI, data science, and product engineering, TAS has successfully delivered AI solutions for global clients across fintech, healthcare, retail, and blockchain. We don’t just build models — we ensure they create measurable business impact and scale securely in production.
Q3. How long does it take to implement an AI/ML solution?
Project timelines vary by complexity. A basic AI proof-of-concept can be delivered in 4–6 weeks, while enterprise-level AI/ML integrations may take 3–6 months. We follow an agile approach, ensuring you see incremental results and ROI at every stage.
Q4. What technologies and frameworks do you use?
We specialize in TensorFlow, PyTorch, LangChain, Hugging Face Transformers, OpenAI GPT/LLMs, FastAPI, and cloud platforms (AWS, GCP, Azure) for scalable AI/ML deployments. Our team chooses the right stack depending on your use case, budget, and growth goals.
Q5. Can you integrate AI/ML with my existing business applications?
Yes. We specialize in integrating AI models into CRMs, ERPs, mobile apps, web platforms, and blockchain systems. Our AI solutions are API-driven, making them flexible and easy to embed within your current workflows.
Q6. How much does AI/ML consulting and implementation cost?
Costs depend on factors such as project scope, data complexity, model type, and integration needs. We offer tailored pricing for startups, SMBs, and enterprises, ensuring cost-effective solutions without compromising on performance.
Q7. Do you provide post-deployment support and optimization?
Absolutely. AI/ML systems need ongoing fine-tuning as data grows. We offer continuous monitoring, model retraining, performance optimization, and dedicated support to ensure your AI solution remains accurate and future-ready.
Q8. Can you share examples of your past AI/ML projects?
Yes — we’ve built AI voice automation for Gram Vaani, a rural call center solution in India, and AI-powered DeFi yield optimization for Auro Digital. These projects showcase how we combine deep technical expertise with business-first thinking.
Ready to Get Started?
Whether you’re looking to explore AI possibilities or already have a model in mind, our team can help you move from idea to execution — fast.
👉 Let’s talk about your AI/ML goals. Contact Us »
