Service 02 • Artificial Intelligence

Autonomous AI & Multi-Agent Swarms

Transform static workflows into self-directing AI collectives. We architect, train, and deploy autonomous agents that execute multi-step research, operational tasks, and customer interactions without manual friction.

Autonomous Task Execution

Agents that browse the web, parse unstructured data, query APIs, generate reports, and trigger real-world business actions independently.

Multi-Agent Swarms

Hierarchical agent architectures where specialist bots (researcher, coder, reviewer, executor) collaborate to accomplish complex objectives.

Human-in-the-Loop Safeguards

Built-in permission boundaries, policy guardrails, and real-time oversight dashboards ensure your agents always operate safely.

Production Architecture • Tech Stack

Languages, Cloud & Data Infrastructure We Work With

We build production-grade autonomous swarms and intelligent systems on battle-tested languages, high-throughput GPU clouds, and resilient vector data backbones.

Stack 01 • Reasoning & Code

Languages & AI Frameworks

Core runtimes, frontier reasoning models, multi-agent frameworks, and low-latency inference engines driving intelligent agent workflows.

Languages & Runtimes

Python (FastAPI / PyTorch) TypeScript / Node.js Go (Streaming) Rust (High-Perf)

Frontier LLMs & Reasoners

OpenAI (GPT-4o / o1 / o3) Anthropic (Claude 3.5 Sonnet) Meta Llama 3.3 70B DeepSeek V3 & R1 Mistral Large Google Gemini 1.5 Pro

Multi-Agent Frameworks

LangChain & LangGraph CrewAI Swarms Microsoft AutoGen LlamaIndex RAG PydanticAI Semantic Kernel

Fast Inference Engines

Groq LPUs (500+ tok/s) vLLM Ollama (Local/Airgapped) TensorRT-LLM

Stack 02 • Compute & Scale

Cloud & Hosting Infrastructure

Elastic hyperscalers, dedicated serverless GPU nodes, hardened container orchestration, and continuous AI monitoring guardrails.

Cloud Hyperscalers

AWS (Bedrock / SageMaker / Lambda) Google Cloud (Vertex AI / Cloud Run) Microsoft Azure AI Foundry

Serverless GPU & Edge

Cloudflare Workers AI Vercel Edge Runtime Modal Labs (Serverless GPU) RunPod Dedicated Clusters Replicate

Containers & Infrastructure as Code

Docker Kubernetes (K8s Pods) Helm Charts Terraform (IaC)

Observability & Guardrails

LangSmith Langfuse Helicone Guardrails AI & Llama-Guard

Stack 03 • Knowledge & State

Data Infrastructure & Memory

Ultra-low latency vector indices, persistent agent memory state machines, real-time message streams, and transactional data backbones.

Vector Databases & Embeddings

Pinecone Serverless Qdrant (Hybrid Search) Weaviate Graph-Vector Milvus ChromaDB Supabase (pgvector)

Relational, Document & Cache

PostgreSQL Redis (Agent Working Memory) Upstash (Serverless Redis) MongoDB Snowflake & Databricks

Message Queues & Streaming

Apache Kafka RabbitMQ AWS SQS / SNS

Durable Agent Execution

Temporal.io (State Machine Orchestrator) Celery Distributed Workers

How We Ship Custom Agents in 2-3 Weeks

1
Scope & Tool Identification: We define the exact reasoning paths, data sources, and APIs your agent requires.
2
Agent Prototyping & Tool Grounding: We construct agent prompts, MCP/tool declarations, and evaluation benchmarks.
3
Integration & Deployment: Deployed onto ultra-fast cloud infrastructure with streaming UI or background execution loops.