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.
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.
Share a sample of your data and we’ll show you the top value levers Mimir would surface in your business.