Stocks Assistant & Stock Agent
Earnings summaries, company-performance scoring, momentum, market context, portfolio questions, and options-related decision support.
AnalyzeAssistAgent tasks
DataKnobs products
AI products that move from analysis to assistance to action.
Adopt a focused product around a real business workflow, then reuse the underlying data products, controls, evaluations, and knobs across adjacent teams and use cases.
Product portfolio
Start with the workflow that matters now.
The portfolio combines packaged solutions with reusable capabilities. The examples below represent common entry points, not a requirement to buy the full platform.
Tax Research & Financial Planning
Document-aware research, structured extraction, planning workflows, scenario support, evidence, and human-reviewed recommendations.
ResearchEvidenceWorkflow
Complaint Management AI
Detect complaints, summarize interactions, extract evidence, classify themes, route cases, and monitor root-cause patterns.
TriageRoutingTrend intelligence
Regulatory / Policy Intelligence
Convert laws and policies into obligations, map existing evidence, identify exposure, and generate implementation tasks with traceability.
ObligationsEvidenceExposure
AI Webmaster & Location Intelligence
Generate and maintain pages, inspect catalogs and locations, improve SEO, and apply accessibility, privacy, claims, and publishing checks.
KreateWebsitesKONTROLSExperiments
AI Twin & Asset Health
Build health scores, anomaly detection, predictive-maintenance signals, RUL estimates, scenario analysis, and validation gates.
SignalsForecastValidation
Shared foundation
Products differ. The operating model stays consistent.
That consistency is what lets a successful product become reusable enterprise capability instead of another isolated AI application.
KREATE
Build data products, knowledge, user experiences, assistants, agents, and workflows.
KONTROLS
Apply source boundaries, identity, privacy, policies, evidence, approvals, and quality gates.
KNOBS
Expose model, prompt, retrieval, thresholds, routing, autonomy, cost, rollout, and fallback choices.
Adoption path
Land with a product. Expand through reuse.
A focused product should create more than an application—it should create reusable context, controls, evaluation assets, and operating knowledge.
1
Choose
Pick one high-value workflow and decision.
2
Connect
Bring in required data, policies, tools, and context.
3
Launch
Deploy analysis, assistant, or agent behavior with clear controls.
4
Measure
Track quality, cost, latency, risk, and workflow outcomes.
5
Reuse
Apply proven assets to adjacent products and teams.
FAQ
Product questions.
Are DataKnobs products separate from the platform?
Products are packaged experiences and capabilities built on the same KREATE, KONTROLS, and KNOBS foundation. Customers can adopt a focused product first and expand later.
Does every product include an AI agent?
No. Some products primarily analyze or assist. Agentic action is introduced only where the workflow, controls, approvals, and risk model support it.
Can products use customer-owned models and infrastructure?
Yes. Deployment can use customer-owned cloud, data platforms, model providers, and security boundaries, or a separately scoped DataKnobs-managed environment.
Pick the smallest product that can prove business value.
DataKnobs can map a workflow to the right product, deployment model, controls, and evaluation plan without requiring a platform-wide commitment on day one.
Discuss a Product