Digital Cognition
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Digital Cognition LLC · Naples, Florida

AI agents and software for organizations.

We design, build and operate AI agents that work inside the systems your organization already runs. They read documents, reason over your data and act in your applications, with human approval where it is required. Our own engineering is carried out by agents and directed by our engineers.

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  • Florida company
  • Service in English and Spanish
  • On-premise, private cloud or cloud
  • Your code and data belong to you

Agentic work

Work carried out by agents, directed by engineers

An agent is a model that can plan, use tools and complete a task from start to finish. We apply agents in two places: in your operations and in the engineering work we deliver to you.

01

Agents in your operations

Agents that review documents, reconcile records, answer requests and update your systems, inside the permissions you define.

02

Agents in our engineering

Our development agents write and test code, review changes and keep documentation current, which shortens every delivery cycle.

03

People in control

Engineers set the architecture and review each change. In your processes, the steps that require a decision wait for human approval.

04

Every action on record

Each step an agent takes is logged with its inputs and results, so it can be reviewed, audited and improved.

Solutions

Seven areas of work for organizations

Each area can be engaged on its own or combined into a single program, according to your priorities and the systems you already operate.

  1. 01Agent harness: development and implementationThe runtime that lets AI agents work safely in your systems: tools, context, permissions, human approval, evaluation and monitoring.
  2. 02AI agents and process automationAgents that carry out document-heavy, repetitive work across your ERP, CRM and existing systems.
  3. 03Private AI assistants and knowledge agentsAssistants and agents that answer from your organization's own documents, with cited sources and permissions by user.
  4. 04Custom model training and deploymentModels trained on your data and deployed on your premises, in a private cloud or in the cloud.
  5. 05Custom software and platformsWeb and mobile applications, portals and internal platforms built around your processes.
  6. 06AI consulting and strategyAssessment, roadmap and governance to decide where AI creates value and how to adopt it.
  7. 07Infrastructure, security and private deploymentOn-premise or private cloud deployment of models and data, with single sign-on, audit and room to scale.

Agent harness

The harness is what makes an agent reliable

A model on its own produces text. The harness around it gives it tools, context and limits, keeps a person in the loop and records every action. We design, build and implement agent harnesses for organizations.

What we offer

  • Harness developmentA harness designed for your agents and use cases, built on open standards and delivered as code you own.
  • ImplementationDeployment on your infrastructure, in a private cloud or in the cloud, integrated with your identity provider and monitoring.
  • IntegrationConnectors and MCP servers for your internal systems, so agents can work with the data and tools your teams already use.
  • Operation and improvementEvaluation, monitoring and model updates under a support plan, with periodic reviews of results.
Discuss a harness project

Own models

Models trained for your data

We train or adapt a model for your task and run it where your data must stay.

Fine-tuned on your documents and terminology, for assistants, drafting and extraction.

Where it runs

  • On-premiseOn your own GPU servers. Data never leaves your network.
  • Private cloudIn a dedicated environment and in a region you choose.
  • CloudManaged GPUs in a public cloud, when scale or speed matter most.
Discuss a model project

Engagement model

How an engagement works

Each phase ends with a deliverable and a decision point, so the investment grows only as results are confirmed.

  1. 01

    Discovery

    We meet with the people involved, map processes, systems, data sources and constraints, and identify the use cases with the clearest return.

    DeliverableAn assessment with prioritized use cases and a recommendation.

  2. 02

    Architecture

    We design the solution: components, integrations, security model, hosting (on-premise, private cloud or managed APIs) and success criteria.

    DeliverableA technical proposal with scope, timeline and investment.

  3. 03

    Pilot

    A working version for one team or process, using your data and your users, measured against the agreed criteria.

    DeliverableA pilot evaluated together with your team.

  4. 04

    Rollout

    We extend the solution to more teams and systems, configure access and single sign-on, train users and document the operation.

    DeliverableA production system with its documentation.

  5. 05

    Support

    Monitoring, updates, maintenance of models and knowledge bases, and continuous improvement under a support plan.

    DeliverableA support plan with agreed response times and periodic reviews.

Industries

Applications by industry

Examples of what we can implement in each sector, adapted to its regulations and its systems.

Financial services

Assistants over policies and regulations, document review, automated reconciliation and reporting, with a full audit trail.

See the demo

Healthcare

Assistants over clinical and administrative protocols, intake and scheduling workflows, and deployments that keep patient data on infrastructure the organization controls.

See the demo

Legal and professional services

Search and analysis of contracts and case files, clause extraction and document drafting with cited sources.

See the demo

Real estate

Analysis of leases and portfolio documents, tenant and owner communications, and integration with property management systems.

See the demo

Logistics and retail

Order, inventory and supplier workflows connected to the ERP, demand reports and assistants for operations teams.

See the demo

Public sector

Assistants over regulations and procedures for staff and citizens, deployed on-premise with data residency and access control.

See the demo

Startups and technology

Support copilots, product analytics and internal tools that grow with the team, built on the stack the company already uses.

See the demo

Security and governance

Commitments that apply to every engagement

Security, access and traceability are defined in the architecture phase, before any data is connected.

Deployment under your control

Models, knowledge bases and applications can run entirely on your servers or in your private cloud, in the region you choose.

Access by role

Single sign-on with your identity provider and permissions by group, so each person sees only what they are allowed to see.

Traceability

Answers cite their sources, and queries and access can be logged for audit.

Data protection

Encryption in transit and at rest, backups and monitoring. Your documents are not used to train public models.

Confidentiality

We sign your NDA or ours before the first technical session and treat all client information as confidential.

Ownership

Once the project is paid, the code, configurations and documentation belong to your organization and are delivered to repositories you control.

How our technology works Open the live demo

Frequently asked questions

What is an agent harness and why does it matter?

It is the software layer around an AI model that gives it tools, context, permissions and oversight. The harness decides what an agent can see and do, when a person must approve a step, and how each action is recorded and evaluated. Most of an agent's reliability comes from it.

Is it safe to let agents act in our systems?

Agents act only within the permissions and tools defined for them, in an isolated environment, and steps with financial, legal or customer impact wait for human approval. Every action is logged so it can be reviewed and audited.

Can the solution run on our own infrastructure?

Yes. Models, knowledge bases and applications can run on your servers or in your private cloud, with no data sent to third parties. When a task requires a commercial model, we integrate it through its API with the controls you define.

How does an engagement start?

With an initial meeting and an assessment of the processes and systems involved. We then deliver a written proposal with scope, timeline and investment. No work starts without your approval.

Can you work with our IT team and current vendors?

Yes. We work alongside internal teams and existing providers, follow your security and change management policies, and document everything we deliver.

Who owns the code and the data?

Your organization. Once the project is paid, the source code, configurations and documentation are delivered to repositories you control. Your data remains yours and is not used to train public models.

Will you sign an NDA?

Yes. We sign your NDA or ours before the first technical session, and we treat all client information as confidential.

Do you also work with startups?

Yes. Startups and small teams can choose from six fixed-scope packages, each with a defined price and delivery date.

A startup or a small team?

We also offer fixed-scope packages: websites with an AI assistant, office automation, apps and support, each with a defined price and delivery date.

See packages for startups

Discuss your project with our team

Schedule a meeting to review your objectives and current systems. We follow up with an assessment and a written proposal.

Schedule a meeting Request an assessment