Staff augmentation services Brightgrove – Team at work

Generative AI & RAG Development Services

Decades of critical business logic often end up trapped in legacy monoliths and the heads of senior engineers. When systems misbehave, those same engineers spend hours acting as manual search engines. We engineer private, source-grounded RAG platforms inside your cloud tenant in 12 weeks—giving your teams instant, source-cited answers across code, logs, and ERP logic without exposing proprietary data.

Services

Home

Artificial intelligence

Generative AI & RAG Development Services

Services

Home

Artificial intelligence

Generative AI & RAG Development Services

How We Solve It

Core Solution

A secure, private RAG platform deployed inside your Azure, AWS or GCP tenant that indexes codebases, technical manuals, and operational logs—pairing vector search with deterministic ERP function tracing and strict Azure Entra role-based access control.

Architectural Guardrails

We eliminate hallucinations through a structure-first retrieval layer: responses are strictly grounded in verified internal sources with exact file-and-line citations, ensuring engineers trust the generated output.

Highlights

12-Week

Production

MVP

Production

MVP

Retrieval

Hours

to Seconds

Hours

to Seconds

Zero

Data Exfiltration

(Private VPC)

Data Exfiltration

(Private VPC)

Highlights

12-Week

Production

MVP

Retrieval

Hours

to Seconds

Zero

Data Exfiltration

(Private VPC)

Deep-Dive Case Studies

Explore Customer Stories

LFB Group GuardianLLM Platform

Delivered a 12-week MVP Azure OpenAI RAG platform featuring semantic code indexing, automated log correlation, and Azure Entra SSO with departmental RBAC.

AI-Assisted Architecture Migration for CleanTech Platform

AI-assisted engineering helped modernize a complex micro-frontend platform, reducing migration time from four weeks to one. Automated dependency monitoring also improved long-term stability across six repositories.

Benefits

High-Accuracy Grounding

Eliminate hallucinations by anchoring generation to verified internal source documents with strict source-citation protocols.

Legacy Codebase Intelligence

Enable cross-functional teams to trace business logic, schema dependencies, and custom procedures across legacy monoliths.

Zero-Exfiltration Cloud Architecture

Run models entirely within private enterprise VPC endpoints with role-based access control.

Zero-Exfiltration Cloud Architecture

Replace fragmented, context-free tool usage with a unified codebase and operational framework.

Industries in Focus

Manufacturing, HVAC & Industrial Equipment

Natural language Q&A across legacy ERPs, schematic diagrams, and technical logs.

High-Volume E-Commerce & Retail

Automated product cataloging, image-to-text taxonomy mapping, and sales transcript parsing.

Enterprise Software & PropTech

Codebase intelligence, CI/CD automated dependency sync, and modular microservices migrations.

Simple, fast and adaptable

Delivery framework

Knowledge Ingestion & Vector Layer

Categorize scattered documentation, source code, and logs into a structured, vector-indexed repository.

Retrieval Optimization & RBAC

Implement hybrid search, reranking, and Azure Entra SSO role-based access boundaries.

Agentic Workflows & UI Integration

Wire RAG pipeline into core business logic and front-end interface.

Evaluation, Hardening & Production Handover

Execute adversarial prompt testing, latency optimization, and CI/CD observability tracing.

Simple, fast and adaptable

Delivery framework

Knowledge Ingestion & Vector Layer

Categorize scattered documentation, source code, and logs into a structured, vector-indexed repository.

Retrieval Optimization & RBAC

Implement hybrid search, reranking, and Azure Entra SSO role-based access boundaries.

Agentic Workflows & UI Integration

Wire RAG pipeline into core business logic and front-end interface.

Evaluation, Hardening & Production Handover

Execute adversarial prompt testing, latency optimization, and CI/CD observability tracing.

Simple, fast and adaptable

Delivery framework

Knowledge Ingestion & Vector Layer

Categorize scattered documentation, source code, and logs into a structured, vector-indexed repository.

Retrieval Optimization & RBAC

Implement hybrid search, reranking, and Azure Entra SSO role-based access boundaries.

Agentic Workflows & UI Integration

Wire RAG pipeline into core business logic and front-end interface.

Evaluation, Hardening & Production Handover

Execute adversarial prompt testing, latency optimization, and CI/CD observability tracing.

Simple, fast and adaptable

Delivery framework

Knowledge Ingestion & Vector Layer

Categorize scattered documentation, source code, and logs into a structured, vector-indexed repository.

Retrieval Optimization & RBAC

Implement hybrid search, reranking, and Azure Entra SSO role-based access boundaries.

Agentic Workflows & UI Integration

Wire RAG pipeline into core business logic and front-end interface.

Evaluation, Hardening & Production Handover

Execute adversarial prompt testing, latency optimization, and CI/CD observability tracing.

The Deliverables

Production-Grade AI Framework

Core orchestration layer wired into your codebase and private cloud environments.

Aggregated Repository Intelligence

Natural language search and function tracing across code, manuals, and operational logs.

Routine-Work Automation Pipeline

Automated task, document, or catalog extraction workflows.

AI Governance & Explainability Layer

Enterprise identity management, SSO integration, audit logs, and prompt injection defenses.

Telemetry & Cost Dashboard

Live tracking of model latency, token expenditures, and output quality.

Our Guarantees: Security, IP, and Control

Zero Public Training: Proprietary client data is never used as training fuel for public models.

100% Client Ownership: All custom agents, pipeline code, prompt templates, and infrastructure scripts belong exclusively to you.

Pre-Computed Performance & Capped Spend: Batch processing, token optimization, and rate limiting ensure low-latency performance with predictable cloud costs.

Zero Public Training: Proprietary client data is never used as training fuel for public models.

100% Client Ownership: All custom agents, pipeline code, prompt templates, and infrastructure scripts belong exclusively to you.

Pre-Computed Performance & Capped Spend: Batch processing, token optimization, and rate limiting ensure low-latency performance with predictable cloud costs.

Ideal For Organizations That

This solution is designed for organizations that have outgrown generic chatbots and need deep AI integration embedded directly into their core business logic and legacy applications. It is especially critical for teams managing complex architectures, where system knowledge is fragmented or confined to individual engineers. By addressing these bottlenecks, it enables engineering organizations to reliably accelerate development cycles through proven, AI-assisted refactoring patterns.