Embedded AI Engineering for the High-Stakes Enterprise
We do not deliver static reports or generic chatbot wrappers. We embed Senior Forward Deployed Engineers directly into your organization to bridge the gap between experimental AI prototypes and production-ready systems.
The Forward Deployed Model
Traditional outsourcing fails in AI because context is local. Our engineers sit directly with your developers, operating within your codebase and database perimeters.
Embedded FDE Squads
Virtual Agent Software
Traditional Outsourcing
Off-site Consultancies
Bespoke AI Capabilities
Our Forward Deployed Engineers implement advanced agent structures using best-in-class frameworks and LLM governance architectures.
Multi-Agent Workflows
Designing cyclic graphs and stateful orchestration layers (using LangGraph/CrewAI) to coordinate actions across specialized sub-agent squads.
Enterprise RAG Pipelines
Building high-precision vector search databases, metadata routing, document parsing, and parent-child vector chunking inside Qdrant and pgvector.
LLM Safety & Guardrails
Deploying middleware filters (Llama Guard, NeMo) to inspect and sanitize input queries, isolate parameters, and audit model write-actions.
Inspect the Inner Reasoning Loops
Click a preset to view step-by-step telemetry logs of embedded agents executing commands in a secured environment.
Embedded Team Allocations
Hire focused, elite technical squads that combine strategic architecture with hands-on codebase deployment.
The Core Squad
Ideal for rapid prototyping and vector system integrations.
- 1 Embedded Forward Deployed Engineer
- 1 Solutions Architect (Part-Time)
- 2-week onboarding to production PoC
- Integration with CRM & vector tables
The Scale Unit
Ideal for complex multi-agent setups and private VPC hosting.
- 3 Embedded Forward Deployed Engineers
- 1 Lead Solutions Architect (Embedded)
- 1 Dedicated Technical Project Director
- VPC model isolation & safety guardrails
Boutique Data Compliance
Deploying AI agents inside highly regulated environments demands localized security architecture. We enforce strict data boundaries to keep your sensitive information private.
Isolated VPC Model
Engineers deploy local LLM instances and Qdrant clusters completely inside your AWS, GCP, or Azure Virtual Private Cloud.
PII Anonymization
Our sanitization middleware strips client names, payment details, and credentials before data is passed to model context windows.
Private IP Control
Strict access tokens ensure that no external traffic is allowed to interact with vector databases or internal API routers.
Audit Log Trail
Every sub-agent tool execution is cataloged with precise latency, token cost, input context, and API write payloads.
Initiate Technical Briefing
Provide your project constraints below. A senior solutions architect will review your parameters within 24 hours.