SERVICE 02 • BRC SIMPLIFY TOUGH

AI & Machine Learning

Enterprise AI Solutions That Drive Measurable Automation

BRC enables organizations to turn unstructured data into actionable operational automation. We develop secure, privacy-compliant AI agents, enterprise search systems, and domain-specific ML pipelines.

THE CHALLENGE

Enterprises struggle to move AI from experimental demos to production.

Generic LLM wrappers fail in enterprise settings due to hallucinations, compliance risks, data leakage, and lack of deterministic grounding in private business data.

01Unreliable answers and hallucinations in standard AI tools
02Data privacy concerns when querying proprietary company records
03Difficulty connecting AI models to live ERP, CRM, and SQL systems
04Uncontrolled API token costs and lack of observability
TECHNICAL CAPABILITIES

Deterministic, Grounded AI Architectures

01

Enterprise RAG Systems

Connect LLMs to PDF archives, documentation, database records, and tickets using hybrid vector + lexical retrieval.

02

Autonomous AI Agents

Task-oriented agents capable of multi-step tool execution, data extraction, and CRM/ERP updates with human-in-the-loop guardrails.

03

Domain-Specific Chatbots

24/7 intelligent customer support and internal helpdesk assistants with contextual memory and multi-channel routing.

04

Predictive Analytics & ML

Supervised and unsupervised models for demand forecasting, anomaly detection, churn prediction, and algorithmic scoring.

05

Private LLM Hosting

Deploy open-weights models (e.g. Llama 3, DeepSeek, Mistral) securely in your AWS/Azure VPC with zero third-party data sharing.

TOOLING & ECOSYSTEM

Technologies we leverage

AI Frameworks

  • LangChain
  • LlamaIndex
  • Hugging Face
  • vLLM
  • PyTorch

Vector Databases

  • pgvector
  • Pinecone
  • Qdrant
  • Weaviate
  • Milvus

Foundational Models

  • OpenAI GPT-4o
  • Anthropic Claude 3.5
  • Llama 3
  • DeepSeek
  • Mistral

Pipelines & Ops

  • LangSmith
  • MLflow
  • Kubeflow
  • Triton Server
EXECUTION MODEL

How we deliver

PHASE 01

Data Feasibility Audit

Evaluate data quality, taxonomy, vector readiness, and privacy constraints.

PHASE 02

Retrieval & Prompt Architecture

Design hybrid vector chunking, metadata filters, and evaluation benchmarks.

PHASE 03

Guardrails & Integration

Implement prompt injection defense, PII masking, and ERP/API tool hooks.

PHASE 04

Telemetry & Drift Monitoring

Track token economics, latency, hallucination metrics, and response accuracy.

QUESTIONS & ANSWERS

Frequently Asked Questions

We use private VPC endpoints, dedicated enterprise agreements with zero-data-retention clauses, or on-premise open-weights models.