Investor Overview
Turning AI capability into productive business operations.
DingoLink develops software that helps companies make effective use of information, employees and AI agents. Our strategy connects trusted evidence, clear assignments, coordinated execution and checked results to improve both business decisions and operational productivity.
Our products apply that discipline in two complementary areas: energy and property decisions, and the coordination of people and AI agents through DingoLink Workspace.
Investor and strategic partnership enquiries: chris@dingolink.ai
The Business Need
The business value of AI depends on useful work completed and the effort required to achieve it. Companies need to get more productive output from their agents while controlling the employee time spent checking progress, clarifying instructions, resolving interruptions and reworking results.
Clear assignments, timely input and appropriate verification can reduce that overhead. DingoLink focuses on the operating structure that helps people and agents work efficiently across reporting, research, data maintenance, scheduling and other recurring business activity.
One Discipline Across Complementary Products
Our energy and property products connect source information with analysis and decisions. My Home Energy Report addresses residential energy use and solar performance. UtilityBillScope examines commercial utility costs. DingoLink BASIS supports property and energy analysis.
DingoLink Workspace applies the same discipline of evidence, review and accountability to agent execution. It connects work definition, progress monitoring and result verification so companies can use agent capacity efficiently and improve how business work gets completed.
DingoLink Workspace
Early access
The platform brings together three complementary capabilities:
DingoLink AHM — free visibility: A Windows monitor and browser dashboard for supported agent activity, interruptions and requests for human input.
DingoLink ATL — paid job management: Defined assignments, acceptance checks, operating limits and a ledger of ownership, results and decisions.
Workspace core — paid workforce coordination: Roles, operating rules, filing conventions, reviews, projects and recurring routines for people and agents.
Dedicated adapters connect agent environments to consistent job and event models.
Commercial Strategy
The commercial model begins with a practical entry point: free monitoring through DingoLink AHM. It helps companies see where agent work is moving, where time is being lost and where an employee's attention can restore progress.
Paid ATL and Workspace capabilities extend that relationship into assignment management, verification, team structure and recurring operations. The commercial objective is to help customers get more useful output from the people, tools and time they commit to AI. Adoption can deepen as customers apply repeatable workflows across more business activity.
Initial focus is on companies equipping staff to work effectively with AI, including managers and operational employees who need a clear interface and a repeatable working method.
Where We Intend to Build Lasting Value
A connected operating process. Work definition, observation, verification and acceptance share a common structure, giving the organization an understandable path from assignment to outcome.
Efficient use of people and agents. Clear scope, visible waits, operating limits and defined handoffs help teams reduce wasted effort and direct capacity toward useful work.
Evidence attached to the work. Operational observations, job records, checks and review decisions provide different forms of evidence for managing execution.
Organizational knowledge that compounds. Job definitions, review practices, incident history and effective recovery methods become reusable knowledge. Companies can improve workflows and training from their own operating experience.
A structure that accommodates changing tools. Supported adapters connect agent environments to consistent job and event models. The organizational method can evolve as the company's choice of tools changes.
Execution Priorities
Our priorities are practical improvements in how companies use AI: less time spent checking status, clearer assignments, more effective handoffs and results reviewed against defined requirements. Dependable installation and a clear everyday experience support adoption by managers and operational staff. Paid capability expands through managed jobs and coordinated workflows across projects and recurring business routines.
Product milestones are tied to checks of supported workflows and practical use. We evaluate progress through observed behavior, verified results and the effectiveness of the operating process.
Company Contact
For investor and strategic partnership discussions, contact:
Chris Van Velden
CEO, DingoLink
chris@dingolink.ai
DingoLink
Better decisions. More effective operations.