All Capabilities
// Capability Dossier

Applied AI Systems & Autonomous Agents

Autonomous neural pipelines embedded directly into enterprise operational loops.

Architectural Overview

We move beyond conversational novelties to build hard-engineered AI systems. Our engineering squads design custom retrieval engines, model quantization pipelines, and multi-agent coordination architectures guaranteed with deterministic constraints and audit trails.

Core Technical Capabilities

Autonomous Multi-Agent Swarms

State-machine guided agentic execution with guardrails and rollback checkpoints.

Hybrid Vector-Graph Retrieval

Sub-15ms semantic and relational hybrid graph search over petabyte-scale knowledge bases.

Deterministic Output Verification

Grammar-constrained sampling ensuring 100% schema-valid JSON generation.

Engineering Methodology & Lifecycle

01
Data Architecture Audit

Profiling embeddings, ingestion velocity, and data governance boundaries.

02
Model Benchmark & Quantization

Benchmarking SOTA models against custom domain eval suites.

03
Agent Orchestration

Developing deterministic state trees and tool-calling execution engines.

04
Production Hardening

Zero-trust verification, rate limiting, and automated drift detection.

Deliverables

  • Custom fine-tuned weights
  • Self-hosted inference cluster
  • Observability & hallucination telemetry
  • API gateway & auth

Technology Stack

PyTorchvLLMQdrantPythonLangGraphDocker