AI & GrowthNEW SERVICE

Enterprise AI Integration, Custom LLMs & Autonomous Agents

Harness the power of cutting-edge AI. We build custom Large Language Model (LLM) pipelines, autonomous AI agents, Retrieval-Augmented Generation (RAG) architectures, and fine-tuned AI workflows that automate operations and create 10x leverage.

AI Integration

DevXpire Certified Core
Typical Sprint MVP2–4 Weeks
Team StructureSenior Architect + Squad
Code & IP Transfer100% Client Owned
Architectural Capabilities

What We Build Under AI Integration

Each capability is built following production best practices, rigorous testing, and high-performance design patterns.

01

Custom LLM & API Pipelines (OpenAI / Claude)

Integrating GPT-4o, Claude 3.5 Sonnet, Gemini 1.5 Pro, and open-source models (Llama 3 / Mistral) with strict deterministic output controls.

  • Structured JSON mode & schema enforcement
  • Dynamic token optimization & cost reduction
  • Fallback & model routing architectures
  • Prompt engineering & eval benchmarking
02

Autonomous AI Agents & Tool Calling

Building goal-driven AI agents with LangChain, LlamaIndex, and AutoGen that search databases, execute API calls, and complete multi-step tasks.

  • Function calling & tool execution
  • Multi-agent orchestration & delegation
  • Human-in-the-loop approval gates
  • Self-correcting reasoning loops
03

Enterprise RAG (Retrieval-Augmented Generation)

Connecting your private company documentation, PDFs, ERPs, and databases into a secure, hallucination-free vector knowledge base.

  • Pinecone, Qdrant & pgvector vector DBs
  • Semantic chunking & hybrid re-ranking
  • Zero data training retention guarantees
  • Precise source citation linking
04

Fine-Tuning & Custom Model Training

Fine-tuning open-source models (Llama 3, Mistral) on your proprietary datasets for hyper-specific industry jargon and regulatory compliance.

  • Dataset curation & synthetic generation
  • LoRA & QLoRA parameter-efficient tuning
  • On-premise / private cloud hosting
  • Strict zero-leakage security boundaries
05

AI Customer Experience & Voice Agents

Human-like conversational voice and chat agents with sub-second latency, sentiment awareness, and direct CRM ticket resolution.

  • Real-time speech-to-speech pipelines
  • Multi-language instant translation
  • Sentiment analysis & escalation routing
  • Direct Zendesk/Intercom/HubSpot sync
06

Computer Vision & Document OCR Processing

Automated ingestion, extraction, and validation of complex invoices, receipts, legal contracts, and medical records using multimodal AI.

  • Automated invoice & PDF data extraction
  • Visual QA & defect detection
  • Handwriting & structured form parsing
  • Automated ERP data entry
Modern Technologies

Specialized Stack for AI Integration

We leverage modern frameworks, cloud infrastructure, and battle-tested APIs to ensure your software is fast, maintainable, and future-proof.

AI Models & APIs
OpenAI GPT-4oAnthropic Claude 3.5Llama 3 (Meta)Mistral AIGoogle Gemini
Frameworks & Tools
LangChainLlamaIndexLangSmithCrewAIInstructor
Vector Databases
Pineconepgvector (PostgreSQL)QdrantWeaviateChromaDB
Deployment & Evals
Ollama / vLLMAWS BedrockModalHugging FaceWeights & Biases
Agile Execution

Our 4-Phase Delivery Process for AI Integration

A structured, predictable agile workflow ensuring transparent communication and on-time milestone delivery.

01
Sprint 1 (Days 1-5)

AI Feasibility & Data Audit

We audit your proprietary data sources, evaluate latency/accuracy requirements, model choices, and establish quantitative evaluation benchmarks.

Key Deliverables
  • AI Architecture Spec
  • Data Sanitization Roadmap
  • Latency & Cost Projection Model
02
Sprint 2 (Days 6-12)

RAG Ingestion & Vector Scaffolding

Setting up semantic chunking pipelines, vector database indexing, embedding models, and hybrid re-ranking search algorithms.

Key Deliverables
  • Vector Knowledge Base
  • Document Embedding Pipeline
  • Evaluation Benchmarks
03
Sprints 3-4 (Weeks 3-6)

Agent Orchestration & Tool Integration

Building custom agent toolchains, function execution handlers, prompt validation guardrails, and user-facing frontend interfaces.

Key Deliverables
  • Autonomous Agent Core
  • API Tool Connectors
  • Guardrail Safety Middleware
04
Sprint 5 (Launch Week)

Guardrails, Evaluation & Production Scale

Running red-teaming adversarial tests, tuning hallucination guardrails, setting up LangSmith telemetry, and production deployment.

Key Deliverables
  • Production AI System
  • LangSmith Telemetry Dashboard
  • Operational AI Runbook
The DevXpire Advantage

Why DevXpire for AI Integration?

Senior engineering, rapid velocity, and measurable business outcomes built into every phase.

Zero Data Leakage Guarantee

We ensure enterprise data privacy: your proprietary data is never used to train public models, adhering to strict zero-retention policies.

Hallucination-Proof RAG

Our hybrid re-ranking and semantic verification pipelines achieve >99% factual precision with exact source citations.

Cost-Optimized Model Routing

We implement intelligent model routing (e.g., GPT-4o Mini for triage, Claude 3.5 Sonnet for deep reasoning) cutting token costs by up to 70%.

Production-Grade Observability

Full observability using LangSmith and OpenTelemetry to monitor token latency, user sentiment, and error rates in real time.

Got Questions?

Frequently Asked Questions: AI Integration

Answers to key technical, pricing, and workflow questions regarding this service.

No. When using enterprise API endpoints (e.g. OpenAI Enterprise, Anthropic Commercial, AWS Bedrock), your data is explicitly exempt from model training. For maximum security, we also deploy self-hosted open-source models (such as Llama 3) inside your private cloud VPC.

Specialized Scope: AI Integration

Ready to Build Your AI Integration Platform?

Schedule a discovery call with our dedicated solutions team. We will analyze your project scope and deliver an actionable technical roadmap.

No Obligation Strategy Call
NDA & Complete IP Transfer
Detailed SOW in 48 Hours