AI & Multi-Agent Swarm Engineering
Deploying autonomous multi-agent reasoning networks, vector database RAG pipelines, and Model Context Protocol servers.
Executive Service Summary
Enterprise operational workflows require intelligent automation beyond basic linear scripts. Discovery Tech Inc. architects stateful multi-agent swarms where specialized AI agents collaborate under supervisor models to solve complex, multi-step business challenges in real time.
From autonomous customer support routing to intelligent document parsing and financial risk modeling, our AI swarms integrate directly into existing ERPs, CRMs, and vector databases with zero hallucination guarantees and zero model data training.
Our senior staff engineers design systems built to withstand extreme traffic spikes, unexpected regional infrastructure outages, and complex regulatory audits. By combining domain-driven design (DDD) with automated CI/CD deployment pipelines, Discovery Tech Inc. eliminates technical debt and guarantees sub-15ms microservice response budgets across all active production routes.
Every milestone release includes full 100% client source code IP transfer, comprehensive Datadog and Grafana telemetry dashboards, automated static security analysis, and round-the-clock SLA support pods stationed across global time zones.
Manual Knowledge Work Bottlenecks
Enterprise operations suffer from manual data entry, slow customer support ticket routing, and inefficient document auditing.
- High labor costs for routine tasks
- Slow customer support resolution
- Siloed unstructured PDFs
- AI model hallucination risks
Autonomous Multi-Agent Networks
We architect stateful multi-agent supervisor graphs executing parallel LLM tasks, vector searches, and automated API tool calls.
- Autonomous supervisor agent graphs
- Hybrid dense-sparse vector RAG
- Model Context Protocol (MCP) servers
- Zero client data training guarantee
Technical Architecture Specs & Security Perimeter
We architect stateless Go, Node.js, and Python microservices communicating over gRPC binary protocol with Protobuf schemas. This guarantees sub-10ms inter-service communication latency and reduces memory overhead compared to traditional REST JSON APIs.
Database access layers leverage PostgreSQL connection pooling, read-replica routing, and Redis cluster caching to handle over 100,000 requests per second with zero data corruption.
Security is enforced at the network perimeter and container level. All service-to-service traffic is encrypted using Mutual TLS (mTLS) via Istio service mesh, while API gateways perform real-time OAuth 2.0 and SAML token validation.
Automated static application security testing (SAST) and container vulnerability scans execute on every pull request, ensuring continuous readiness for SOC 2 Type II, ISO 27001, and HIPAA audits.
Clickable System Layer Stack
LangChain and AutoGen multi-agent topologies executing parallel vector searches (Pinecone/Qdrant) and automated tool calls.
Core Technical Deliverables
Stateful supervisor graphs managing specialized agent pods.
Hybrid retrieval with Qdrant and Pinecone for sub-second doc context.
Standardized Model Context Protocol servers connecting LLMs to enterprise DBs.
Domain-adapted Llama 3 and Claude models running on private GPU nodes.
AI agents capable of executing SQL queries, sending emails, and updating CRM records.
Enterprise privacy guarantees ensuring zero model training on client data.
Real-time conversational voice bots for inbound and outbound contact centers.
Converting unstructured PDFs, invoices, and medical records into structured tables.
In-app AI assistant sidebars automating user workflows inside web applications.
Real-time machine learning models auditing transactions for fraud vectors.
Our 6-Stage Delivery Process
Domain Modeling & Boundary Definition
We perform deep architectural audits, mapping domain boundaries, microservice contracts, and database schema partitions.
PoC & API Schema Validation
Constructing high-throughput proof-of-concept prototypes to validate latency budgets, gRPC schemas, and security permissions.
1-Week CI/CD Iterative Shipping
Deploying dedicated senior developer pods executing 1-week sprints with continuous Datadog telemetry and automated testing.
SOC 2 & Pen Test Verification
Enforcing automated static analysis, vulnerability scanning, and mutual TLS (mTLS) microservice security checks.
Canary Release & Blue-Green Rollout
Zero-downtime production deployment with automated traffic shifting and real-time error rate rollbacks.
24/7 Monitoring & Optimization
Round-the-clock infrastructure monitoring, autoscaling rule tuning, and dedicated SLA response teams.
Frequently Asked Questions
Are our enterprise company documents secure?
Yes. All RAG vector databases are hosted inside your private AWS/Azure VPC with mTLS encryption and zero third-party model training.
What AI frameworks do you use?
We leverage LangChain, LangGraph, LlamaIndex, PyTorch, vLLM, Pinecone, Qdrant, and OpenAI GPT-4o.
Ready to Deploy AI & Multi-Agent Swarm Engineering?
Speak with our Principal Architects today to plan your architecture blueprint and sprint timeline.