Automate Enterprise Knowledge with Custom LLM Solutions.
Harness the power of tailored Large Language Models, Retrieval-Augmented Generation (RAG), and generative AI to turn unstructured company data into conversational intelligence and automated workflows.
AI Systems We Build
GPT-powered chatbots
Context-Aware Customer & Internal Support Bots Engineered for Accuracy.
Build intelligent, conversational AI agents powered by OpenAI, Claude, or open-source models (Llama) customized specifically to your product offerings and brand tone. Includes Custom Conversational AI Design, Multi-Turn Dialogue Management, Multi-Language Support Capability, Fallback to Human Agent Routing, and Guardrails & Hallucination Mitigation.
RAG-based knowledge bots
Turn Proprietary Company Documents into Instant Answers.
Leverage Retrieval-Augmented Generation (RAG) and vector databases to let your teams chat directly with internal PDFs, databases, and knowledge bases with cited sources. Includes Vector Database Setup (Pinecone, Qdrant, Milvus), Document Chunking & Embedding Pipelines, Source Attribution & Citation Links, Fine-Tuned Semantic Search Logic, and Real-Time Knowledge Base Synchronization.
Slack/Teams-integrated assistants
Put AI Directly into Your Team's Daily Messaging Workflows.
Integrate enterprise LLM assistants into Microsoft Teams and Slack to summarize conversations, answer technical questions, and automate internal tasks directly inside channels. Includes Slack App & Microsoft Teams Bot Development, Channel & Thread Context Awareness, Internal Ticket Creation & Routing, Automated Standup & Meeting Summaries, and Custom Slash Commands & Action Triggers.
SOP / document-based internal search
Instant Neural Search Across Policy Manuals and Complex Documentation.
Enable employees to query complex standard operating procedures, technical manuals, and legal contracts using natural language for immediate, accurate answer extraction. Includes Semantic Policy & SOP Search Engines, Automated Document Summarization, Complex Legal & Contract Analysis, Enterprise Access Control Integration, and Historical Search Analytics & Insights.
Why Businesses Choose StackDot for AI
Strict Data Privacy & Security
Your proprietary enterprise data remains completely private and is never used to train public foundation models.
Zero Hallucination Architecture
Our RAG pipelines validate responses against strict internal source documents to ensure 100% factual output.
Model-Agnostic Flexibility
We deploy the best LLM for your budget and use case—whether OpenAI GPT-4o, Anthropic Claude, or self-hosted Llama models.
Enterprise System Integration
Seamlessly connect AI assistants with existing CRMs, ERPs, Notion, Confluence, Jira, and cloud databases.
Industries Using Custom LLM Solutions
Structured Workflow for Custom LLM Development
Data Discovery & Mapping
Gather, clean, and organize internal docs, SOPs, databases, and unstructured enterprise files.
Architecture & RAG Design
Set up vector indexing, select optimal LLM foundation models, and design semantic retrieval pipelines.
Custom Integration & Bot Build
Develop chatbot interfaces, integrate Slack/Teams endpoints, and configure custom API pipelines.
Guardrail & Safety Testing
Implement strict security guardrails, test for prompt injections, and validate source citation accuracy.
Deployment & Continuous Tuning
Deploy to secure cloud infrastructure, establish performance analytics, and continuously refine model prompts.
Use Cases
What Our Clients Say
“StackDot built a custom RAG-based knowledge bot that integrated directly into our Slack workspace. Our support and onboarding teams now get instant, accurate answers from our SOPs, saving over 20 hours per week per manager.”
Case Studies
That Prove It
Explore what we're building, solving, and thinking.
Ready to Automate Your Enterprise Knowledge with Custom LLM Solutions?
Let’s build intelligent, secure generative AI assistants tailored to your enterprise workflows.