For high-throughput back office operations

Agentes de automatización con límites precisos, control de presupuesto y supervisión humana

We design and deploy autonomous agent pipelines that process complex documents, sync enterprise systems, and recover from errors reliably.

Resumen en español

Implementación de sistemas de agentes para flujos de trabajo complejos con registros de auditoría y controles de seguridad definidos.

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Token Savings

Rust orchestration avoids heavy Python overhead and unnecessary context bloat.

100%

Supervised DAG

Automated recovery trees prevent agents from getting stuck in infinite loops.

Gated

Human-in-the-Loop

Financial disbursements and critical actions require explicit human sign-off.

Air-Gapped

Private Deployment

Self-hosted on your own hardware or dedicated isolated instances.

Enfoque técnico y alcance

Moving beyond toy chat interfaces, real business automation requires autonomous agents that execute multi-step jobs reliably over hours or days. Olib AI builds enterprise multi-agent pipelines leveraging our compiled Rust orchestration platform, Erlang-OTP style supervision trees, and persistent 4-tier memory. Tasks are governed by strict token budgets, credential vaults, and human-in-the-loop exception approvals. Agents operate within your firewall or private cloud, reducing operational costs while preserving total privacy.

Para quién está diseñada esta misión

Companies processing thousands of invoices, claims, or regulatory filings per month

Logistics and manufacturing operators needing continuous sensor and inventory triage

Customer support and back-office teams overwhelmed by multi-system ticket resolution

Organizations wanting autonomous workers without cloud SaaS lock-in or data leakage

Entregables concretos que recibe

Complete autonomous agent runtime compiled for your target infrastructure

Custom tool adapters for internal APIs, database query engines, and web portals

Supervised DAG scheduler with automated retry trees and persistent session memory

Operator governance dashboard with real-time task rollups and human sign-off queues

Prompt injection defense filters and AES-256 encrypted credential storage

Fases de entrega

Tres hitos de entrega delimitados

Cada fase cuenta con criterios definidos, plazos estrictos y entregables verificados.

01Fases de entrega 01

Map agent roles and tool contracts

We define the exact operational boundaries, available tool APIs, input schemas, credential access permissions, and human approval checkpoints.

Entregables concretos que recibe:

You receive an agent architecture specification, tool interface contracts, and failure recovery protocols.

02Fases de entrega 02

Build and sandbox the pipeline

We configure specialized local models, implement SMI tool routing, and sandbox all external browser and code executions inside isolated Docker environments.

Entregables concretos que recibe:

You receive a functioning pipeline tested against synthetic and historical edge cases.

03Fases de entrega 03

Production rollout and governance

We deploy the agent platform into your infrastructure with real-time audit logging, token expenditure alerts, and operator oversight dashboards.

Entregables concretos que recibe:

Your operations team monitors live agent execution with full control over approvals and spending.

Compromisos de ingeniería estrictos

Garantías establecidas por escrito antes de cualquier acceso a repositorios o sistemas.

Deterministic tool routing prevents runaway model hallucination

Isolated sandbox environments ensure agents cannot execute unverified system commands

Immutable cryptographic audit logs recorded for every tool call and decision

Complete source and deployment ownership retained by your business

Preguntas techniques frecuentes

Respuestas claras sobre confidencialidad y límites de ejecución.

FAQ

How do you stop agents from doing unexpected actions?

We enforce hard constraints at the runtime level. The Steffi Machine Interface limits models to a maximum of 5 tools per turn, and high-consequence operations (such as payments or deletions) mandate an interactive human approval gate.

FAQ

Can the agents run with open-source local models?

Yes. Because our Rust platform carries the reasoning orchestration and tool validation, smaller local models like Qwen 2.5 or Gemma 2 achieve high reliability on targeted tasks without cloud API costs.

FAQ

How do agents interact with older enterprise software?

We use our native Specter headless browser engine and Droid Control system to drive web portals and mobile applications through structured UI maps rather than flaky screen scrapers.

Otras prácticas de ingeniería

Explore nuestras otras áreas de consultoría técnica especializada.

For enterprise operations teams

Flujos de trabajo empresariales a medida

Diseñamos e implementamos software a medida en su propia infraestructura. Mantenga la propiedad absoluta del código y de los datos sin cuotas mensuales recurrentes por usuario.

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For independent founders and fast-moving teams

Auditoría de lanzamiento para aplicaciones con IA

Evaluación técnica independiente de seguridad, separación de datos y gestión de credenciales antes del lanzamiento a producción.

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Comenzar un proyecto

Programar una llamada confidencial de alcance técnico

En nuestra conversación inicial confirmamos el encaje técnico y los plazos. Redactamos un alcance detallado antes de cualquier compromiso.

Discuss an agent deployment