Turn context into capability
Build governed data products, knowledge layers, digital experiences, assistants, agents, and workflow automation from enterprise data and rules.
AI systems built around enterprise context and control
AI that analyzes, assists, and acts.
DataKnobs helps organizations turn enterprise data and context into governed AI products that can surface insight, support decisions, and automate approved actions. KREATE builds the capability, KONTROLS defines the boundaries, and KNOBS makes consequential choices measurable and adjustable.
The DataKnobs platform
Creation, governance, and optimization belong together.
Production AI is not just a model. It is a system of data, context, workflows, controls, evaluations, and actions that must evolve safely.
Define what AI is allowed to do
Apply identity, privacy, access, lineage, policy, approval, evidence, quality, and operational controls throughout the lifecycle.
Expose the choices that matter
Make model, prompt, retrieval, threshold, routing, autonomy, cost, risk, and fallback choices explicit so teams can evaluate and improve them.
From one workflow to a portfolio
Start with a real decision. Reuse what works.
DataKnobs can begin with a focused use case and turn the underlying data products, controls, evaluations, and knobs into reusable enterprise capability.
1
Outcome
Define the decision, workflow, and measurable business result.
2
Context
Connect the data, documents, policies, signals, and domain knowledge required.
3
Capability
Build the analysis, assistant, agent, or data product.
4
Controls
Specify boundaries, evidence, approvals, and quality gates.
5
Improve
Measure knobs, compare variants, monitor drift, and expand reuse.
Applied AI
Products and use cases built on the same operating model.
Financial intelligence, complaint operations, regulatory workflows, websites, tax research, industrial health, and domain-specific agents can share the same governed foundation.
Financial intelligence
Earnings analysis, company performance, portfolio decision support, and options intelligence.
Customer operations
Complaint detection, evidence extraction, routing, root-cause analysis, and compliance review.
Regulatory intelligence
Turn laws, policies, and obligations into evidence-backed requirements, gaps, and implementation tasks.
Digital operations
AI-powered websites, location/catalog intelligence, SEO, governance, and webmaster automation.
Deployment choice
Fit the platform to the customer’s operating model.
Deploy into customer-owned cloud and model infrastructure when security and integration demand it, or use a managed path when speed and operational simplicity matter more.
Customer-owned infrastructure
Keep cloud, data, identity, networking, and model contracts inside the customer boundary while DataKnobs provides the intelligence and control layer.
DataKnobs-managed infrastructure
Use a managed environment with scoped operations and explicit provider-consumption budgets, alerts, approval gates, and limits.
FAQ
What buyers usually want to know.
What is DataKnobs?
DataKnobs is an AI and data-product platform organized around KREATE for creation, KONTROLS for governance, and KNOBS for measurable adjustment and continuous improvement.
What does analyze, assist, and act mean?
It describes three ways intelligence can be delivered: analysis surfaces signals, assistants support human decisions, and agents can execute approved actions within defined controls.
Can DataKnobs run in customer infrastructure?
Yes. DataKnobs supports customer-owned and DataKnobs-managed deployment models, depending on security, integration, operating, and procurement requirements.
Start with one decision worth improving.
DataKnobs can help frame the outcome, identify the context and controls, and choose the smallest production path that creates measurable value.
Discuss a Use Case