Scattered systems
Order book, inventory, QA, support, projects, and finance all live in different tools, owned by different teams.
Mimir
Mimir is a multi-modal intelligence platform that connects fragmented enterprise data into a single decision engine, so every team can see where value is created.
Trusted by business owners across the globe
Order book, inventory, QA, support, projects, and finance all live in different tools, owned by different teams.
Weeks to answer basic questions like Which products are draining margin or Which projects will slip this quarter.
Impossible to tie operational activity to revenue, margin, or working capital impact, so initiatives compete on opinions instead of outcomes.
Ops, finance, product, and CX all see different truths, leading to conflicting priorities and missed bets.
Generate prioritized Act Now cards and run What-If Simulator scenarios with expected impact, urgency, and owners.
Every metric is expressed in terms leaders care about: revenue, gross margin, working capital, risk, and customer experience.
Combine structured tables, text, documents, and events into one analytical layer.
Plug in ERPs, WMS, CRMs, support systems, project tools, and warehouses; Mimir works with DPDP-safe datasets, no PII, and retention controls.
Action recommendation preview
Example actionable card: expected impact, urgency, confidence, and owner-ready next steps.
E2EE
Your data is fully encrypted in transit and at rest.
SOC2
Compliance certification underway.
DPDP-safe
Compliant with data handling requirements under the Act.
PII-safe
Enable attribution without storing sensitive PII data.
Governance, access controls, auditability, and explainability are available for enterprise deployment needs.
Tailored to your business model, data maturity, and decision priorities.
Priority ROI plays for B2B Services teams, translated into action-ready recommendations.
Answers to questions like:
Correlate progress, RFIs, and change orders to surface schedule and cost overrun risk early.
Connect purchase orders, delivery, and quality signals to rank supplier reliability and true cost impact.
Map milestones, billing, and execution progress to forecast cash-in and cash-out pressure before it lands.
Priority ROI plays for Manufacturing teams, translated into action-ready recommendations.
Answers to questions like:
Tie defects, scrap, and warranty outcomes to quantify cost-of-quality and rank highest-payback fixes.
Find constraints across lines and shifts, then size revenue impact from removing each one.
Blend sensor, maintenance, and production context to prioritize downtime reduction by ROI.
Priority ROI plays for SaaS teams, translated into action-ready recommendations.
Answers to questions like:
Fuse CRM, product usage, support, and billing signals to prioritize account actions by revenue impact.
Quantify likely feature impact on adoption, expansion, and support cost before committing delivery capacity.
Route interventions using predicted resolution effort, customer value, and CSAT risk.
Implementation can run with or without an internal data team. Typical delivery timelines are measured in weeks with staged support from onboarding through operational rollout.
Step 1
Secure connectors and APIs pull data from existing systems without disrupting current pipelines.
Step 2
Domain models map entities like orders, SKUs, projects, assets, and customers with prebuilt industry templates.
Step 3
ML and rules engines detect anomalies, correlations, and trends tied to financial outcomes.
Step 4
Insights arrive as prioritized recommendations with forecasted impact and execution handoff into existing tools.
+X%
margin lift
Placeholder quote: We aligned teams around one source of truth and moved from reporting lag to action with measurable business impact.
VP Operations
Enterprise Co. (Placeholder)
Y%
less capital lockup
Placeholder quote: Decisions became faster and more consistent because operations, finance, and leadership acted on the same signal.
Head of Finance
Industrial Co. (Placeholder)
Z%
faster cycles
Placeholder quote: Mimir highlighted the highest-leverage actions first, so owners could execute with confidence.
Chief Revenue Officer
SaaS Co. (Placeholder)
N%
risk reduction
Placeholder quote: We reduced surprise risk by surfacing leading indicators early and clarifying decision ownership.
Program Director
Capital Projects Co. (Placeholder)
Most teams start seeing decision-ready outputs in days through staged onboarding across their existing systems.