Solution portfolio
Auditable decision and execution systems for complex, regulated environments
BrightNTech does not position around generic analytics, generic AI, or consulting. The portfolio is structured around decision systems, orchestration systems, scenario intelligence, and regulated execution environments.
Portfolio overview
| Page | Description | Inputs | Outputs | Features | Advantages | Business benefits | ROI potential | Human heavy lifting | M2M ready | Priority | Dependencies |
|---|---|---|---|---|---|---|---|---|---|---|---|
| VoiceCraft | Real-time speech coaching and rehearsal intelligence for spoken performance, language progression, and high-stakes conversation practice. | Live voice input, session topic, CEFR level, rehearsal context, turn-by-turn speech signals | Human: coaching feedback, stronger phrasing, progress score. M2M: session telemetry, feedback objects, proficiency history. | Speech-to-speech coaching, CEFR-aware scoring, ELO progression, pro rehearsal loops | Combines real-time STT, coaching, TTS, and deterministic progression into one voice-native product | Faster speaking improvement, stronger spoken confidence, clearer rehearsal outcomes | High (EUR 50K to 200K) | Low to Medium | Partial | High | Speech models, coaching runtime, billing and entitlement layer |
| re:score | Digital visibility intelligence for auditing search, local, content, social network, and brand readiness. | Submitted domain, visibility signals, local profile data, content structure, brand-surface references, benchmark profiles | Human: executive visibility readouts, maturity framing, prioritized action plan. M2M: scored dimensions, remediation keys, benchmark gaps. | Six-dimension scoring, executive summaries, benchmark comparison, scenario simulation, brand-surface audit | Turns fragmented visibility diagnostics into one auditable operating signal with priority logic | Clearer remediation sequencing, stronger digital trust surface, better visibility investment decisions | High (EUR 40K to 150K) | Low to Medium | Partial | High | Domain access, visibility data quality, benchmark profiles, remediation ownership |
| Competency Centric | Workforce resilience and knowledge-persistence intelligence for regulated organizations. | HRIS data, organizational bands, churn assumptions, sector profiles, continuity signals | Human: executive workforce readouts. M2M: scored sector views and scenario-ready metrics. | Sector radar, cohort pyramid, continuity scoring, scenario corridor | Makes mid-layer fragility visible before it becomes launch or execution risk | Better retention governance, stronger continuity, earlier intervention decisions | High (EUR 50K to 150K) | Medium | Partial | High | HRIS access, workforce data quality, operating assumptions |
| Retirement Overview | Scenario-led retirement exposure analysis for workforce continuity and succession planning. | Age bands, tenure distributions, retirement assumptions, role criticality, workforce mix | Human: retirement risk narrative. M2M: scenario metrics, exposure segments, planning views. | 3D retirement scenarios, exposure modeling, continuity views, executive summaries | Turns retirement risk from static reporting into an actionable planning system | Reduced succession risk, clearer workforce planning, stronger institutional continuity | High (EUR 50K to 150K) | Medium | Partial | High | Workforce data, retirement assumptions, role segmentation |
| Geo Intelligence | Geospatial decision intelligence for territory prioritization, expansion logic, and market planning. | Location data, territory signals, market attributes, demographic and business indicators | Human: geographic decision briefs. M2M: ranked geographies, map layers, scoring outputs. | Geo scoring, territory mapping, prioritization logic, layered decision views | Connects map-based signals to auditable business prioritization | Smarter territory focus, better expansion choices, improved field allocation | High (EUR 50K to 175K) | Medium | Partial | High | Geo datasets, market data, scoring rules |
| Carbon Impact | Operational carbon-impact intelligence for emissions visibility, planning, and reporting readiness. | Activity data, operational assumptions, emissions factors, reporting boundaries | Human: carbon impact summaries. M2M: modeled emissions outputs and reporting artifacts. | Impact modeling, emissions breakdowns, planning scenarios, reporting views | Makes carbon reporting more operational and decision-oriented | Better ESG planning, stronger reporting readiness, clearer operational tradeoffs | Medium to High (EUR 40K to 125K) | Medium | Partial | Medium | Operational data, reporting boundaries, emissions assumptions |
| Powered Docs | Document intelligence for extracting structured value from enterprise and regulated document flows. | PDFs, contracts, reports, policies, filings, and unstructured enterprise documents | Human: document summaries and insights. M2M: structured extracts, classifications, and downstream-ready records. | Document parsing, structured extraction, summarization, workflow-ready outputs | Turns document-heavy work into reusable structured intelligence | Faster document processing, lower manual effort, better downstream automation | High (EUR 50K to 175K) | Low to Medium | Full | High | Document access, extraction schema, workflow integration |
| Regulated Next-Best-Action Orchestration | Deterministic and AI system to orchestrate compliant communication sequences across sales, marketing, and medical environments. | CRM, SFE, segmentation, engagement history, channel permissions, compliance rules | Human: next action plus rationale. M2M: JSON workflows, agent tasks, execution payloads. | Multi-parameter decision engine, constraint layer, scenario-based sequencing, audit trail | Eliminates guesswork, enforces compliance, improves timing and channel precision | Higher engagement ROI, reduced compliance risk, improved field efficiency | Very High (EUR 75K to 250K) | Medium | Full | Critical | CRM integration, compliance rules, segmentation model |
| Decision Intelligence (BI / SFE) | Transforms BI and SFE data into auditable decision systems using weighted matrices. | BI dashboards, sales data, geo data, profiles, behavioral signals | Human: decision briefs. M2M: ranked matrices, API outputs, orchestration inputs. | Pyramidal knowledge, weighted scoring, deterministic logic, AI pattern detection | Moves from dashboards to decisions with traceable logic | Faster decisions, optimized resource allocation, consistent prioritization | High (EUR 75K to 200K) | Medium | Full | Critical | Data pipelines, BI tools, data quality |
| Pharma Commercial AI | Compliant commercial intelligence with segmentation and next-best-action sequencing. | HCP data, prescriptions, engagement, segmentation, tiering, adoption signals | Human: targeting strategy. M2M: action plans, CRM-ready outputs, sequences. | Segmentation engine, adoption modeling, next-best-action orchestration, compliance constraints | Tailored to pharma complexity and aligned with field and governance limitations | Increased adoption, optimized field-force impact, better campaign ROI | Very High (EUR 100K to 300K) | Medium to High | Full | Critical | CRM, regulatory framework, segmentation models |
| Scenario Intelligence (3DT) | Probabilistic scenario modeling using three-dimensional time and Bayesian inference. | Market data, internal metrics, external signals, strategic assumptions | Human: scenario narratives. M2M: scenario trees, probability-weighted outputs. | 3DT model, Bayesian inference, multi-variable simulation, decision-path modeling | Moves from forecasting to decision-ready futures | Better strategic decisions, risk reduction, improved investment allocation | High (EUR 100K to 250K) | Medium | Full | High | Data aggregation, modeling assumptions, scenario design |
Cross-solution capabilities
Pyramidal Knowledge Structure
Structured multi-layer knowledge from general to expert to regulatory.
Reduces ambiguity and improves consistency.
Deterministic and AI Hybrid Logic
Combines rules, matrices, machine learning, and generative AI.
Maintains explainability while improving performance.
Multi-Parameter Weighted Matrices
Explicit decision weighting across variables.
Reduces subjective bias in prioritization.
Scenario-Based Reasoning (3DT)
Models the most probable futures rather than a single projected line.
Enables forward-looking decisions under uncertainty.
Next-Best-Action Sequencing
Orchestrates actions over time and channels.
Drives execution instead of stopping at insight.
MCP and Agent Integration
Routes tasks, tools, and skills into executable workflows.
Enables automation and scalability.
Human and Machine Dual Output
Produces executive-readable and system-executable artifacts.
Bridges strategy and operations.
Closed-loop portfolio logic
- Decision Intelligence determines what should be done.
- Next-Best-Action defines how and when to act.
- Pharma Commercial AI shows where the system applies in a regulated vertical.
- Scenario Intelligence models what will likely happen next.
Solution map
Portfolio
Bring decision, orchestration, and scenario intelligence into one commercial path
Use the solution pages to qualify the problem, then route into contact or pricing depending on deal stage and market tier.