Solution portfolio
Solution Portfolio
Trusted intelligence systems for regulated environments.
Enterprise decision, orchestration, and execution systems designed to move from insight to controlled outcomes.
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Category
Decision Systems
Transform fragmented data into auditable, weighted, and executable decisions.
Decision Intelligence (BI / SFE)
Turns BI and SFE data into auditable decision systems.
For: Sales, strategy, resource allocation
CriticalFull M2MHigh ROI
Decision Intelligence (BI / SFE)
Turns BI and SFE data into auditable decision systems.
For: Sales, strategy, resource allocation
What it is
A deterministic decision engine that converts dashboards into structured, weighted decisions.
Business problem
Organizations have data but lack consistent, traceable decision logic.
When to use this
- You have BI but no consistent decision logic
- Teams disagree on prioritization
- Decisions are slow or not traceable
How it works
Applies pyramidal knowledge, weighted matrices, and AI pattern detection to produce ranked decisions.
Differentiation
Moves from visualization to decision execution with full auditability.
Best fit
Organizations with mature BI but low decision consistency.
Core capabilities
- Weighted decision matrices
- Deterministic scoring logic
- AI signal enrichment
- Decision traceability
Inputs
- BI dashboards
- Sales data
- Geo data
- Behavioral signals
Human outputs
- Decision briefs
- Prioritization narratives
M2M outputs
- Ranked matrices
- API outputs
- Orchestration inputs
Business impact
- Faster decisions
- Reduced bias
- Consistent prioritization
Dependencies
- Data pipelines
- BI tools
- Data quality
Typical project value
EUR 75K to 200K
Expected impact
Faster decision cycles, reduced bias, consistent prioritization
Human effort
Medium
M2M ready
Full
Priority
Critical
Why it matters
Move from data visibility to consistent, auditable decision execution.
Pharma Commercial AI
Compliant segmentation and next-best-action intelligence for pharma.
For: Pharma commercial teams
CriticalFull M2MRegulated
Pharma Commercial AI
Compliant segmentation and next-best-action intelligence for pharma.
For: Pharma commercial teams
What it is
A compliant commercial intelligence system tailored to pharma constraints.
Business problem
Fragmented targeting, limited field efficiency, and regulatory complexity.
When to use this
- Targeting and segmentation are fragmented across teams
- Field-force allocation lacks consistent logic
- Regulatory constraints slow campaign execution
How it works
Combines HCP segmentation, adoption modeling, and compliant sequencing into a governed commercial stack.
Differentiation
Tailored to pharma complexity and aligned with field and governance limitations.
Best fit
Pharma teams modernizing targeting under regulatory constraints.
Core capabilities
- HCP segmentation engine
- Adoption modeling
- Next-best-action sequencing
- Compliance constraint layer
Inputs
- HCP data
- Prescriptions
- Engagement history
- Segmentation and tiering
Human outputs
- Targeting strategy
- Field-force briefs
M2M outputs
- Action plans
- CRM-ready outputs
- Sequenced workflows
Business impact
- Increased adoption
- Optimized field-force impact
- Higher campaign ROI
Dependencies
- CRM
- Regulatory framework
- Segmentation models
Typical project value
EUR 100K to 300K
Expected impact
Increased adoption, optimized field-force impact, higher campaign ROI
Human effort
Medium to High
M2M ready
Full
Priority
Critical
Why it matters
Turn commercial intent into compliant, ranked actions ready for the field.
re:score
Auditable digital visibility intelligence across search, content, and brand.
For: Marketing, brand, digital leadership
HighPartial M2M
re:score
Auditable digital visibility intelligence across search, content, and brand.
For: Marketing, brand, digital leadership
What it is
A six-dimension visibility scoring system that turns fragmented digital signals into one operating signal.
Business problem
Visibility diagnostics are fragmented across SEO, local, content, social, and brand surfaces.
When to use this
- Visibility reports conflict across channels and teams
- Remediation priorities are unclear or subjective
- Brand and digital trust must be tracked together
How it works
Scores six dimensions, benchmarks against peers, and simulates remediation scenarios.
Differentiation
Turns fragmented visibility diagnostics into one auditable operating signal with priority logic.
Best fit
Brands needing one governed visibility view across surfaces.
Core capabilities
- Six-dimension scoring
- Benchmark comparison
- Scenario simulation
- Visibility remediation logic
Inputs
- Submitted domain
- Visibility signals
- Local profile data
- Brand-surface references
Human outputs
- Executive visibility readouts
- Maturity framing
- Prioritized action plan
M2M outputs
- Scored dimensions
- Remediation keys
- Benchmark gaps
Business impact
- Clearer remediation sequencing
- Stronger digital trust surface
- Better visibility investment decisions
Dependencies
- Domain access
- Visibility data quality
- Benchmark profiles
- Remediation ownership
Typical project value
EUR 40K to 150K
Expected impact
Clearer remediation sequencing, stronger digital trust surface, better visibility investment decisions
Human effort
Low to Medium
M2M ready
Partial
Priority
High
Why it matters
Replace fragmented visibility reports with one auditable operating signal.
Compare all solutions
Open the comparison table to see priority, M2M readiness, typical project value, and effort at a glance.
Cross-solution capabilities
All solutions are built on a unified architecture designed for regulated, high-stakes decision environments.
Pyramidal Knowledge Structure
Structured knowledge from general to expert to regulatory layers.
Deterministic and AI Hybrid Logic
Combines rules, scoring, machine learning, and generative AI while preserving explainability.
Multi-Parameter Weighted Matrices
Explicit decision weighting across variables to reduce subjectivity.
Scenario-Based Reasoning (3DT)
Probabilistic future modeling instead of single-line forecasting.
Next-Best-Action Sequencing
Turns insight into orchestrated actions across time and channels.
MCP and Agent Integration
Routes tools, skills, and workflows into executable automation paths.
Human and Machine Dual Output
Produces executive-readable artifacts and machine-executable outputs.
Who this is for
Designed for organizations where decisions must be traceable, compliant, and operationally executable.
Pharma and Life Sciences
Compliant commercial intelligence, targeting, and next-best-action execution.
Financial services
Auditable decisioning, scenario modeling, and governed orchestration.
Regulated enterprise environments
Decision intelligence, workforce continuity, and ESG reporting systems.
Data-mature organizations
Teams ready to move from BI and dashboards into executable intelligence.
Strategic positioning
What we build
Decision, orchestration, and scenario systems.
What we do not build
Dashboards, generic AI products, or black-box models.
Core value
Auditable, bias-constrained, executable intelligence.
Differentiation
Regulated environments plus deterministic logic.
Deploy intelligence systems that drive real decisions and controlled execution
Move from diagnostics to executable intelligence — qualify the problem with our team, or explore pricing to plan the engagement.