Zeltar Ventures
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Intelligent systems.
Practical business progress.

From an internal AI assistant to a connected workflow or cloud application, Zeltar Ventures brings the implementation together. Start with one focused requirement or connect several capabilities in a wider engagement.

AI development & integration

Make your business knowledge useful, where work happens.

Build assistants, agents and document tools around the questions your team needs answered and the tasks it needs completed. Connect approved internal data to existing applications, with source references, evaluation and human review designed into the solution.

  • Internal knowledge assistants and RAG
  • AI agents with approved tool access
  • Document extraction and classification
  • Data preparation and answer evaluation
  • Integration with business applications
  • Model adaptation or fine-tuning where suitable
What this can look like

A service team searches approved procedures from its existing workspace. The assistant retrieves relevant passages, cites the source and prepares a next action for a person to review.

Decisions covered in the scope

Start with the task and representative data. Compare retrieval, prompting and model adaptation before selecting an approach; define permissions, quality checks and escalation rules before rollout.

Discuss an AI requirement

Enterprise process automation

Turn disconnected steps into a clear operating flow.

Connect the handoffs between people, documents and systems. Zeltar Ventures maps the rules, builds the integrations and defines how exceptions reach the right person. Python, APIs, n8n, Make and Zapier are selected to fit the workflow and its operating needs.

  • Document routing and approval workflows
  • CRM, ERP and internal system connections
  • API integration and event-driven workflows
  • Data validation and exception routing
  • n8n, Make and Zapier implementation
  • Python automation and operational reporting
What this can look like

A document arrives, required fields are checked and the request reaches its designated approver. The decision updates the business system, while missing information or failed updates are routed for follow-up.

Decisions covered in the scope

Agree the triggers, business rules and owners. Define retry behaviour, duplicate prevention, exception handling and acceptance checks so the team knows how to operate the workflow.

Discuss an automation requirement

Cloud & application delivery

Take the solution from a working build to everyday use.

Develop web applications, APIs and internal tools, then establish a practical deployment and operating approach. AWS environments, release workflows and monitoring are shaped around the workload, access requirements and budget.

  • Business applications and internal tools
  • APIs, backend services and dashboards
  • AWS environment configuration
  • Deployment and release workflows
  • Application monitoring and alerts
  • Operating documentation and handover
What this can look like

An operations team manages requests in one shared application. The application connects the required systems and is deployed with defined user access, monitored errors and a documented release process.

Decisions covered in the scope

Define environments, access, expected usage and cost assumptions. Agree release checks, backup and recovery requirements, monitoring and the handover or support arrangement before launch.

Discuss an application or deployment

Start with the business challenge.

Share the process, current tools and what needs to improve. The first discussion will help define a useful next step.

Discuss a project