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01 · Services · GenAI

Generative AI Chatbots, Done Right

Enterprise chatbots that ground every answer in your data. RAG, prompt engineering, and guardrails — production-hardened.

Generic LLMs invent facts and ignore your enterprise context.
Off-the-shelf chatbots leak data and lack auditability.
Our Expertise
Strategy . Delivery . Outcomes

Built to move your generative ai chatbots roadmap faster.

We've shipped Nubo and bespoke chatbots for asset managers, hospital networks, and global retailers. Every system enforces source citations, role-based access, and full conversation auditability — because enterprise chatbots aren't toys.

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Chatbots in production
0M
Documents indexed
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Source citation rate
0ms
Avg response latency
01Why This Matters

"A chatbot that hallucinates is worse than no chatbot at all."

  • 01

    Generic LLMs invent facts and ignore your enterprise context.

  • 02

    Off-the-shelf chatbots leak data and lack auditability.

  • 03

    Most teams ship demos, not production-grade conversational systems.

02What We Offer

Our Generative AI Chatbots Practice.

01 / 04
What We Offer

Hybrid retrieval pipelines that combine semantic search, reranking, and citation enforcement.

PineconeBGECohere Rerank

RAG Architectures

What We Offer

Systematic prompt design with versioning, A/B testing, and regression evaluation built in.

Prompt OpsGuardrailsEval

Prompt Engineering

What We Offer

Connect Confluence, SharePoint, S3, Notion, and internal wikis — with permission-aware retrieval.

RBACETLSync

Knowledge Base Integration

What We Offer

Ship the same brain across web, Slack, Teams, mobile, and CRM — one model, many surfaces.

Slack APITeamsWeb SDK

Multi-Channel Delivery

03Expertise

Depth before width.

We've shipped Nubo and bespoke chatbots for asset managers, hospital networks, and global retailers. Every system enforces source citations, role-based access, and full conversation auditability — because enterprise chatbots aren't toys.

0+
Chatbots in production
0M
Documents indexed
0%
Source citation rate
0ms
Avg response latency
Teams work with us when they need measurable movement, not another deck of ideas.
04Technology Stack

Our Core Technology Stack

Models
GPT-4oClaude 3.5Llama 3Mistral
Retrieval
PineconeWeaviateChromaDBpgvector
Embedding
OpenAICohereBGEE5
Eval
RagasTruLensLangSmith
05Approach

How We Work.

  1. 01

    Knowledge Audit

    We catalog every source — wikis, PDFs, databases, ticketing systems — and define what the bot can and cannot say.

  2. 02

    Retrieval Pipeline Design

    Chunking strategy, embedding model selection, hybrid search, and reranking — tuned to your domain.

  3. 03

    Prompt + Guardrail Engineering

    System prompts, output schemas, citation enforcement, and refusal logic — versioned like code.

  4. 04

    Deploy, Evaluate, Iterate

    Production rollout with conversation analytics, golden-set evals, and weekly improvement cycles.

System Flow
User Query
Web · Slack · API
Nubo Interface Layer
Prompt Engineering Engine
System · Few-shot
Vector DB
Pinecone
RAG Retriever
Hybrid + rerank
LLM Router
GPT-4o · Claude
Guardrails + Formatter
Enterprise Delivery
API · Slack · CRM
High-level architecture
Finance · GenAI Platform

Nubo for a top-10 US asset manager

Analyst lookup time: hours → seconds · Q1 2025

Top-10 US asset management firm
Read Case Study
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