Build Enterprise AI Agent Platform

Achieve true process autonomy by deploying intelligent agents that execute complex, multi-step tasks across systems, manage workflows, and self-correct when encountering friction.

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Autonomous Execution Architecture & Governance

We architect platforms where agents are secure, observable, and governed. Our focus is on building agents capable of complex reasoning, planning, and task decomposition that integrates across disparate legacy and modern enterprise systems.

01

Complex Goal Planning

Engineering agents to break down high-level objectives (e.g., "Onboard a new vendor") into sequential sub-tasks, managing APIs, data sources, and dependencies autonomously.

02

Secure Agent Governance

Implementing strong role-based access control (RBAC) and detailed logging to ensure agents only access necessary data and maintain a full, traceable audit history of all actions executed.

03

Enterprise System Integration

Developing reliable interfaces and wrappers that allow agents to autonomously call and interact with existing tools like SAP, Salesforce, Jira, and custom internal APIs.

04

Adaptive Error Handling

Building feedback loops where agents learn from task failures, automatically retrying steps, or escalating complex, novel errors to human supervisors with full context.

Core Components for Agent Intelligence

The transition to an autonomous enterprise requires integrating specialized AI technology, from the core agent framework to the intelligence that enables planning and the governance that ensures reliability.

01

AI Agents Development

Designing the specialized agent frameworks (e.g., LangChain, custom graph models) that define the planning, memory, execution, and observation loops for autonomous action.

AI Agents Development
02

Generative AI Development

Leveraging fine-tuned LLMs as the "brain" for agents, enabling complex reasoning, natural language understanding of objectives, and dynamic task generation.

Generative AI Development
03

Strategy & Management

Providing the foundational strategy, risk assessment, and change management required to deploy autonomous agents safely and effectively across critical enterprise functions.

Strategy & Management

Case studies

Go beyond the obvious. Co-create with teams who value impactful experiences and products.

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app screens from Friday Harbor AI underwriting analysis
app screens from Friday Harbor AI underwriting analysis
app screens from Friday Harbor AI underwriting analysis
Artificial Intelligence
Finance

Automating mortgage underwriting with multi-agent AI

Friday Harbor

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screens from Monster AI Job Search feature
screens from Monster AI Job Search feature
screens from Monster AI Job Search feature
Artificial Intelligence

Helping candidates perform better at job interviews using AI

Monster AI

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ai math tutor app screen
ai math tutor app screen
ai math tutor app screen
Full-Cycle Service
Education
Artificial Intelligence

Helping students learn and understand basic math using artificial intelligence

Fibo — AI Math Tutor

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app screens with taim
app screens with taim
app screens with taim
Full-Cycle Service
Education
Artificial Intelligence

Leveraging AI to build a content summarization app for better knowledge retention

taim

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app view with summary
app view with summary
app view with summary
UX/UI Design
Education
Artificial Intelligence

Creating a personalized audio listening experience with content curated by artificial intelligence

Audioburst

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