C-DSAI · Consulting Solutions

AI / LLM / SLM / RAG

We design and deploy LLM and SLM-powered applications, Retrieval-Augmented Generation pipelines, AI agents, and custom language model integrations — including Small Language Models for edge devices, IoT, and cloud automation layers — tailored to your domain, data, and existing infrastructure.

What We Build

Core Capabilities

🧠

LLM Integration

Connect OpenAI, Anthropic Claude, Google Gemini, or open-source models to your existing systems. Custom wrappers, API layers, and prompt management built for your domain.

SLM Integration

Deploy Small Language Models (Phi-3, Gemma, Mistral-7B, TinyLlama) for edge and cloud application layers. Low-latency, low-cost inference — ideal for on-device, IoT, and automation pipelines.

🔍

RAG Pipelines

End-to-end Retrieval-Augmented Generation — document ingestion, chunking, embedding, vector indexing, retrieval, and generation. Your knowledge base, supercharged.

🤖

AI Agents

Autonomous agents that reason, plan, and act — interacting with your internal tools, APIs, databases, and workflows to complete multi-step tasks.

🎯

Custom Fine-tuning

Fine-tune language models on your proprietary data for domain-specific accuracy, tone, and terminology — far beyond generic off-the-shelf models.

🗄️

Vector Databases

Setup and management of Pinecone, Weaviate, Chroma, or pgvector — optimised for semantic search and similarity retrieval at scale.

🖼️

Multi-modal AI

AI that understands text, images, audio, and documents together — enabling richer understanding and more powerful automation.

Applications

Use Cases

Enterprise Knowledge Assistant
Internal Q&A over your documents, wikis, and SOPs
Customer Support Automation
Intelligent bots grounded in your product knowledge
Document Intelligence
Extract, summarise, and classify information from PDFs and contracts
Code Generation & Review
LLM-assisted development workflows for engineering teams
Research & Competitive Intelligence
Automated synthesis of large document corpora
Custom Chatbots & Copilots
Domain-specific assistants embedded into your product
Edge AI Automation (SLM)
Run SLMs on-device or at the edge for low-latency, offline-capable automation workflows
Cloud Microservice Automation (SLM)
Lightweight SLM inference in cloud functions, IoT pipelines, and event-driven architectures
Tech Stack

Technologies

OpenAI GPT-4oAnthropic ClaudeGoogle GeminiLlama / MistralPhi-3 / Phi-4 (SLM)Gemma (SLM)TinyLlama (SLM)Mistral-7B (SLM)LangChain / LlamaIndexPineconeWeaviatepgvectorFastAPIPythonAzure OpenAIAWS BedrockONNX RuntimeOllama
Our Approach
  • Deployed within your own infrastructure — your data never leaves
  • Model-agnostic — we pick the right LLM or SLM for your use case, infrastructure, and budget
  • SLM deployment for edge, IoT, and cloud automation — low-latency, offline-capable inference
  • Production-grade pipelines with evaluation, monitoring, and feedback loops
  • Ongoing support and iteration post-deployment
Start Building

Ready to Integrate Intelligence?

Book a consultation and we'll design the right LLM or SLM architecture for your data, goals, and deployment environment.

Book a Consultation

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