AI Development & LLM Integration
Useful AI tools, connected to your data and workflow.
We build AI features that help people search information, prepare content, and work with documents. Projects can include retrieval from your knowledge base, tool integrations, and evaluation against examples from your use case. We discuss data access, model limitations, and review requirements before implementation.
IN PRACTICAL TERMS
What this service means for your business
You have knowledge, documents, or tasks that could be easier with a focused AI tool. An AI assistant built around a real job, with clear limits and human review where needed.
What you receive
- Use-case and data review
- Working AI experience
- Quality checks and guidance
How we work together
We agree on the task and source material, build a focused first version, test it against examples, and document its limits.
What shapes the quote
Data access, integrations, model usage, privacy requirements, and the depth of testing affect the quote.
The written proposal confirms the exact deliverables, price, review rounds, and schedule for your project.
Core Technical Capabilities
Retrieval-Augmented Generation (RAG)
Hybrid vector-sparse embeddings indexing across proprietary enterprise knowledge stores using Pinecone, Qdrant, and pgvector.
Autonomous Agent Tool Calling & Workflows
Multi-step AI agents with deterministic tool orchestration, dynamic memory buffers, and recursive self-correction logic.
Custom LLM Fine-Tuning & Quantization
Domain-adapted model tuning for specialized terminology, JSON structured outputs, and on-premise local model inference (Llama 3, Mistral).
Multimodal Voice, Vision & Audio Pipelines
Real-time speech-to-text transcription, voice cloning synthesis, and document vision OCR extraction with sub-200ms latency.
Engineering Lifecycle
Data Ingestion & Embeddings Strategy
Cleaning, chunking, and indexing unstructured documents into high-dimensional vector spaces.
Prompt Engineering & Guardrail Tuning
Constructing deterministic system prompts, tool schemas, and output validation guardrails.
Production Evaluation & Latency Caching
Benchmarking BLEU/ROUGE accuracy, implementing semantic prompt caching, and edge routing.
Real-World Use Cases
- Enterprise Knowledge Assistants & Technical Policy Q&A
- Multimodal Customer Support & Conversational Agents
- Document Intelligence, Extraction & Automated Summarization
- Autonomous Research & Data Synthesis Agents
Technology Stack
SELECTED AGENCY WORK
A public case study for this service has not been published yet. We only publish project evidence that can be supported and shared.
Before we begin
What should I include in my enquiry?
Describe what you want to build, who will use it, and any existing tools it needs to work with. A rough budget and target date help us discuss a realistic scope.
How are cost and delivery dates decided?
BitForge project prices range from ₹599 to ₹5,99,000. We review your requirements before proposing the exact scope, price, review rounds, and schedule. Delivery time varies with the work, integrations, content readiness, and feedback.
What happens after launch?
We agree on handover, documentation, hosting, and any ongoing support in the project proposal. Third-party services and their fees are discussed before work starts.
Ready to deploy AI Development?
Contact our engineering team to review system requirements, timeline estimations, and architectural blueprints.
TELL US ABOUT YOUR PROJECT