Services

Applied AI engineering and software architecture for real products.

Cataluma designs and builds AI-enabled applications, knowledge systems, intelligent workflows, and modern software platforms. Engagements can begin with architecture and feasibility work, a focused proof of value, or direct implementation.

Discuss your project Review selected work

Service Lines

Four ways to move from AI idea to production system.

Each service line addresses a distinct starting point. Most engagements combine more than one.

Applied AI Application Development

Ship AI features that fit inside your product, not bolted onto it.

Cataluma designs and builds AI-enabled product features and complete applications that connect language and multimodal models to real users, data, APIs, and business processes, with structured outputs, validation, and review steps built in from the start.

Representative deliverables

AI-enabled web applications and product features
Structured model outputs and validation
Tool calling and external API integration
Prompt and model orchestration
User interfaces for review, correction, and approval

Common engagement types

Proof of value, Product implementation

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RAG and Knowledge Systems

Turn scattered documents and data into answers your team can trust and cite.

Cataluma builds retrieval systems that pull relevant information from your organizational content and ground AI responses in it, with ingestion, chunking, embeddings, access controls, and citation workflows treated as first-class engineering concerns rather than an afterthought.

Representative deliverables

Document ingestion and chunking pipelines
Embeddings and vector-search integration
Metadata filtering and access controls
Source attribution and citation workflows
Retrieval and response-quality evaluation

Common engagement types

Architecture and feasibility, Product implementation

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AI Agents and Workflow Automation

Automate the multi-step work a simple chatbot can't handle.

Cataluma combines deterministic workflow orchestration with AI-assisted reasoning, tool use, and human oversight to automate processes spanning multiple systems, decisions, approvals, and handoffs, with retries, fallbacks, and escalation logic built into the design and full execution traces for visibility.

Representative deliverables

Stateful agent and workflow orchestration
Business-system and API integrations
Human-in-the-loop approval steps
Retry, fallback, and escalation logic

Common engagement types

Proof of value, Product implementation

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Software Architecture and Modernization

Modernize the foundation so new AI capability doesn't add fragility.

Cataluma improves application architecture, APIs, infrastructure, and data flows so existing systems can support new capabilities without increasing fragility, addressing legacy constraints and integration debt before AI work compounds the risk and cost of change.

Representative deliverables

Application and integration architecture
API and service-boundary design
Legacy application modernization
Cloud deployment and CI/CD improvements

Common engagement types

System review and hardening, Fractional technical leadership

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When Cataluma Is a Good Fit

Signs it's the right time to bring in outside engineering.

You need to add AI to an existing product.
You have an AI prototype that needs stronger engineering.
You need to integrate models with internal data and APIs.
You need senior architecture leadership without hiring a full-time principal.
You need to modernize an application before introducing AI.

Engineering Standards

Every engagement is held to the same production standard.

These disciplines apply across every service line, regardless of engagement size.

Evaluation
Observability
Structured validation
Security
Human oversight
Deployment and maintainability

Engagement Models

Start with the level of support your project needs.

Architecture and feasibility

Evaluate whether AI fits the problem and define a practical implementation path.

Early-stage initiatives

Proof of value

A focused build that demonstrates feasibility and supports a broader investment decision.

Pre-investment validation

Product implementation

A complete product capability: architecture, development, AI integration, validation, and deployment.

Defined products

Review and hardening

Review architecture, implementation, and reliability, then address the highest-priority gaps.

Prototypes nearing scale

Fractional technical leadership

Technical direction, architecture guidance, and delivery coordination without a full-time role.

Ongoing guidance

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Selected Work

Applied AI and software systems in practice.

Selected client implementations and engineering projects demonstrating practical AI integration, workflow automation, and modern application architecture.

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Scope your next AI or architecture project.

Discuss your project

Compiling the next screen…

Applied AI engineering and software architecture for real products.

Four ways to move from AI idea to production system.

Applied AI Application Development

Representative deliverables

Common engagement types

RAG and Knowledge Systems

Representative deliverables

Common engagement types

AI Agents and Workflow Automation

Representative deliverables

Common engagement types

Software Architecture and Modernization

Representative deliverables

Common engagement types

Signs it's the right time to bring in outside engineering.

Every engagement is held to the same production standard.

Start with the level of support your project needs.

Architecture and feasibility

Proof of value

Product implementation

Review and hardening

Fractional technical leadership

Applied AI and software systems in practice.

Scope your next AI or architecture project.

Applied AI engineering and software architecture for real products.

Four ways to move from AI idea to production system.

Applied AI Application Development

Representative deliverables

Common engagement types

RAG and Knowledge Systems

Representative deliverables

Common engagement types

AI Agents and Workflow Automation

Representative deliverables

Common engagement types

Software Architecture and Modernization

Representative deliverables

Common engagement types

Signs it's the right time to bring in outside engineering.

Every engagement is held to the same production standard.

Start with the level of support your project needs.

Architecture and feasibility

Proof of value

Product implementation

Review and hardening

Fractional technical leadership

Applied AI and software systems in practice.

RAG Biography Workflow

Contentware

Scope your next AI or architecture project.

RAG Biography Workflow

Contentware