We develop products to gather market data, run operations and support decisions. Harvester, Kastelan and Luna work alongside our data science, business intelligence and workflow engineering capabilities.
Explore the products
We build products for market research, operations and management decisions, then configure them around your data and workflows.
Finds data and preserves its source.
A data-gathering agent for market, account and content research. It turns scattered sources into records organized around a research question.
Usage boundary: Finding a record does not establish its accuracy or freshness. Any need for verification is identified separately.
Runs a defined task within agreed authority.
An agent family for bounded research and revenue operations tasks. Tool access and approval requirements are defined alongside the task.
Usage boundary: Producing a recommendation and changing an external system require different permissions. Write access and outbound communication limits are set during implementation.
Interprets signals in context.
A product that interprets data and research in relation to a decision-maker’s question. It separates findings, possible explanations and missing information.
Usage boundary: An interpretation is neither a verified cause nor an automatic decision. Consequential actions require review by the relevant decision owner.
There is no mandatory product sequence. Luna can interpret research before an action or results after it. Products are used together or separately according to the use case.
The method follows the decision and the available data. Not every problem calls for a machine learning model or an agent.
We start with the management question and define the metrics, data sources and review cadence together. Each report needs a clear role in a decision.
Where data is suitable, we develop models for prediction, segmentation or prioritization. We compare against a simple baseline, respect the time structure of the data in validation and examine error types.
We connect data gathering, analysis and action to existing systems. Failure handling, access and operational ownership are designed alongside the integration.
When a sales team’s forecast changes, we first examine which records changed. An individual signal is not automatically evidence of a lost sale.
The relevant sales manager decides whether to revise the forecast after these checks. The assessment retains the records and assumptions used.
We define permitted sources, access and retention. Missing or stale data and its implications for the workflow are made explicit.
Read access, recommendations, writes and outbound communication have separate permissions. We define human approval points and how to stop a task.
Success criteria, review samples and error tracking are part of implementation scope. We agree who owns go-live and subsequent changes.
All three products are actively implemented and sold. We discuss your use case and needs in an introductory call. Any detailed assessment, implementation and operating scope is agreed separately, together with data sources, integrations and permissions.
No. Software and data capabilities solve a defined GTM, revenue operations or product hypothesis problem. Broad, undefined IT development is outside the scope.
Let’s discuss your goals, your current situation and where we could work together.
