What Our Embedded Engineers Build

Production AI can't improvise

We design and operate the AI Gateway that turns your LLM infrastructure into an auditable corporate engine: provider-agnostic, fault-tolerant, and governed from day one. Enterprise-grade architecture built for the age of autonomous agents.

Get a Free Platform Maturity Assessment See Our Engagement Model

This is one of the domains our embedded platform engineers specialize in. They join your team to build and operate this capability alongside your existing staff.

The 3 pillars of our architecture

01 // ARCHITECTURE

hub

Provider decoupling

A standardized intermediary layer separates your code from LLM provider APIs. Swap, combine, or replace models in minutes without rewriting a single line of software.

health_and_safety

Fault-tolerant business continuity

The system assumes providers will fail. It self-heals request routing in real time against saturation, errors, or exceeded quota limits.

account_balance

FinOps & data governance

We centralize traffic to audit spend, enforce compliance policies, and protect data privacy before it ever reaches an external model.

Gateway capabilities

System functional specifications

cached

Efficient Prompt Caching

Network-level caching of shared contexts and corporate knowledge bases, drastically reducing redundant tokens and accelerating response times.

key

Virtual Keys & Budgets

Internal APIs with daily/monthly spend limits and rate controls (RPM/TPM) configurable per department, team, or application.

security

Guardrails

Inline filters that detect PII for automatic masking and block prompt injection attempts before they reach the LLM.

query_stats

Observability

Critical metrics (cost per token, TTFT latency, error codes) ready to plug into Datadog, Prometheus, New Relic, or internal databases.

gateway-config.yaml

gateway:
  version: "2.0"
  caching:
    scope: shared_context
    ttl: 3600s
  virtual_keys:
    - team: engineering
      budget: $300/mo
      rpm_limit: 1000
  guardrails:
    pii_masking: enabled
    prompt_injection: block
  observability:
    export: [datadog, prometheus]
    metrics: [cost_per_token, ttft]

code

Built for the agentic era

Agent orchestration, skills & SDD

03 // AGENTIC

Specialized Agents

We design segmented architectures of sub-agents with atomic roles and ultra-specific scopes. By isolating responsibilities, we maximize precision and radically reduce hallucinations.

Skills Library

We equip agents with standardized, persistent capabilities (MCP-compatible). Defined once, available across the gateway for any agent to consume securely.

Shared Context

We implement a centralized Memory Hub at the infrastructure level. When one agent processes a key piece of information, that context is instantly available to the entire flow — no redundant tokens, no duplicated API costs.

SDD — Spec-Driven Development

We apply SDD to govern agent behavior. The system demands and validates rigorous technical specifications before executing any action, turning AI from an unpredictable experiment into an auditable, deterministic production engine.