All ServicesAI & Intelligent Agents

Engineering Discipline 04

AI & Intelligent Agents

We bridge the gap between toy AI demos and mission-critical production systems. We engineer private, secure, and deterministic AI pipelines with cost-optimized inference, strict guardrails, and automated evaluation metrics guaranteeing factual accuracy.

Inquire About This Service →View Workflow Process ↓

< 1%Verified Hallucination Rate

99.2%Factual Accuracy Score

< 1.2sAverage Pipeline Inference

100%Private VPC Data Isolation

Autonomous Agent Graph & Hybrid Dense/Sparse IndexingLynByte Architecture Labs

Interactive Topology Visualizer

AI & Intelligent Agents System Architecture

01 / INGRESSTLS 1.3

Global Edge CDN

Anycast routing, automated DDoS protection & SSL termination.

Latency: < 15ms global

02 / GATEWAYJWT / OIDC

Unified API Router

Rate limiting, token governance, schema validation & fallbacks.

Throughput: 50k req/s

03 / COMPUTEgRPC Mesh

Microservices Engine

Stateless Go & Rust containers with auto-healing pod replicas.

Autoscaling: 2 – 50 pods

04 / STORAGEMulti-AZ

Data & Vector Store

PostgreSQL primary + read replicas, Qdrant vectors & Redis cache.

Replication: Synchronous

ACTIVE TELEMETRY: Sub-50ms P99 latency target with zero layout shift.

ARCHITECTURE VERIFIED ✓

Overview & Architecture

Deterministic Enterprise AI Without Data Leakage

Enterprises cannot afford AI systems that hallucinate answers or send proprietary customer data to public training sets. We architect private AI systems grounded in your corporate databases with hybrid vector retrieval, contextual reranking, and deterministic guardrail state machines.

By decoupling knowledge retrieval from generation and enforcing strict schema validation on model outputs, we guarantee consistent, verifiable results.

Core Capabilities & Modules

Module 01

Private Enterprise RAG (Retrieval-Augmented Generation)

Multi-stage hybrid search combining dense vector embeddings with sparse BM25 keyword retrieval, cross-encoder reranking, and citation tracing.

Deliverable:

Domain-tuned Qdrant/Milvus vector index with automated document parsing and incremental updates.

Module 02

Autonomous Multi-Agent Orchestration

Coordinated specialized agents (Search Agent, Auditor Agent, Formatter Agent) governed by deterministic LangGraph state machines.

Deliverable:

Durable multi-agent workflows with human-in-the-loop review interfaces for edge cases.

Module 03

Intelligent Model Routing & Cost Governance

Dynamic model gateways that evaluate prompt complexity to route between low-cost models (Llama 3.3, Claude Haiku) and frontier models (Claude Sonnet).

Deliverable:

Latency- and cost-optimized API gateway reducing token expenditure by up to 45%.

Module 04

Automated Hallucination & Eval Benchmarks

Continuous integration test suites running programmatic test cases (Ragas, TruLens) to verify factual correctness on every model or prompt update.

Deliverable:

Automated eval pipelines with regression testing reports and safety guardrails.

Tailored Engineering Process

AI & Agent Engineering Workflow

A scientific, benchmark-driven AI engineering process that measures accuracy and safety at every iteration.

Active Phase Overview

Corporate Knowledge Audit & Chunking RFC

We inspect your proprietary documentation, database schemas, and compliance requirements. We design optimal document chunking, metadata extraction, and embedding strategies.

Verified Phase Deliverables:

AI Architecture RFC

Knowledge Ingestion Pipeline Spec

Data Privacy Threat Model

phase_01_blueprint.visual

Phase Verified

Architecture RFC & Threat Model

v1.0 Spec

Domain Boundary

Decoupled Microservices

Data Model

ACID Compliant + CDC