info@denovonet.comData-driven insights. Practical intelligence.

Denovonet · Applied intelligence

Intelligence from Data. Action through AI.

Intelligent Products. Tailored Solutions. Transforming Complex Data into Clear, Actionable Decisions.

Explore our products

Financial Risk Intelligence

Healthcare Decision Intelligence

Urban Safety Intelligence

Smart Data Engineering

Predictive Intelligence

Applied AI

Language Intelligence

UnderstandBuildPredictGovern

Our products

Three Platforms. One Purpose: Turning Data into Actionable Intelligence.

Financial integrity. Public safety. Predictive care.

01BaltoroFinancial integrity02ForeViaPublic safety03PreventraPredictive care

Financial crime compliance

Think compliance. Think intelligence.

Unify alert quality, investigation, entity risk and case management.

Discover Baltoro

Baltoro intelligent case management interface

AI-powered investigation

Urban safety analytics

From reactive response to proactive prevention.

Explore patterns, forecast risk and inform public-safety decisions.

Discover ForeVia

Hotspots · trends · forecasts

Predictive care intelligence

Predict. Explain. Intervene.

Turn healthcare data into timely action and measurable outcomes.

Discover Preventra

Clinician presenting the Preventra predictive care platform

Clinical + financial impact

Be part of our journey

Find the value hidden in your data.

From first idea to working intelligence.

Work with us

Partners in innovation

From insight to implementation.

01

Predictive analytics

Forecast what comes next.

02

Tailored AI solutions

Built around your goals.

03

Data visualization

Make complexity clear.

04

Natural language AI

Turn language into insight.

05

Data governance

Build trust into every system.

06

Data architecture

Create foundations that scale.

Our belief

Data matters when it improves a decision.

About Denovonet

info@denovonet.comData-driven insights. Practical intelligence.

Think compliance. Think intelligence.

Intelligent compliance for unwavering business protection.

Baltoro gives financial crime teams clarity and control across detection, investigation, entity risk, and case resolution—without locking capability behind licensing costs.

Request a Demo Explore capabilities

Zero licensing costsML-powered alert qualityNative big data architecture

Baltoro entity relationship investigation graph

Real Baltoro platform screens

The challenge

Compliance teams are carrying more cost—and finding too little crime.

Legacy monitoring creates volume instead of clarity. Baltoro is designed to improve the signal, connect the evidence, and help investigators move with confidence.

95%of alerts can be false positivesRetail Banking International, 2025

$206Bestimated annual compliance costFlagright, 2025

≈2%of financial crime is detectedInterpol

The Baltoro advantage

Better intelligence. Lower friction. Built for scale.

00

Zero licensing costs

Open technology foundations help reduce platform overhead and avoid restrictive user-based licensing.

AI

Improved alert quality

Machine learning and contextual risk help teams focus on higher-value alerts instead of working through noise.

∞

Native big data architecture

A modern, deployment-flexible foundation supports high data volumes, rapid setup, and seamless growth.

No-code model builder

Adapt detection logic without waiting on a release cycle.

Build and refine risk models through a visual workflow that brings rules, data, and model behavior into one place.

Visual model and rule construction
Flexible testing and calibration
Faster response to emerging typologies

AI-powered investigation

Move from isolated alerts to connected evidence.

Network analysis exposes relationships across people, accounts, transactions, and risk signals so investigators can see the wider story.

Entity-centric viewRelationship analysisContextual risk

Baltoro relationship and network analysis

Intelligent case management

Detect. Route. Resolve.

Bring triage, assignment, evidence, investigation, and resolution into a coordinated workflow with visibility across the case lifecycle.

Baltoro intelligent case management workflow

Advanced analytics

One risk picture, with room to investigate.

Explore entity-level risk, build reports, score patterns, and test rules before they reach production.

01

Entity-centric risk view

Bring profile, alerts, behavior, and contextual risk together.

Baltoro entity-centric customer risk view

02

Custom report builder

Turn operational data into focused reporting for different teams.

Baltoro custom analytics and report builder

Baltoro financial crime intelligence architecture

Architecture that fits

Deploy your way. Scale without rebuilding.

Baltoro supports public cloud, private cloud, and on-premise deployment, with an architecture designed for rapid setup and growth.

Public, private, or on-premise deployment
Rapid setup and integration
Seamless scalability
Architecture designed to maximize ROI

The promise behind the platform

Capability is only useful when teams can trust and adopt it.

01

Our commitment

AML and risk frameworks embedded into a focused, continually improving product.

02

Training & support

Practical guidance that helps teams become confident and productive in the platform.

03

Customer success

Close partnership around adoption, outcomes, and long-term operational value.

Ready to transform compliance?

See how Baltoro can sharpen your financial crime response.

Request a Demo Visit Baltoro.ai

info@denovonet.comData-driven insights. Practical intelligence.

Urban safety analytics & forecasting

AI-Powered Crime Analysis and Forecasting for Smarter Public Safety Decisions

ForeVia helps agencies transform crime data into actionable intelligence through interactive dashboards, pattern detection, forecasting, and AI-assisted analysis.

Built for modern public safety teams, ForeVia brings historical analysis, geographic context, forecast models, and clear question-and-answer exploration into one practical experience.

View Dashboard Request a Demo

ForeVia incident-density analysis for San Jose

What is ForeVia?

Move beyond static reporting.

ForeVia is an urban safety intelligence and analytics platform designed to help teams understand incident patterns, identify emerging areas of concern, and improve strategic planning.

Identify trends fasterUnderstand where incidents clusterMonitor forecast signalsCommunicate insights clearly

Core capabilities

One platform for time, place, context, and what may come next.

01

Crime pattern analysis

Explore historical and recent incident data to uncover trends, hotspots, repeat patterns, and changes over time.

02

Geographic intelligence

Compare activity across areas and see how incidents relate to local geography, facilities, and neighborhood context.

03

Forecasting

Monitor short-term signals by area and category to support planning, briefings, and readiness.

04

ForeVia Assistant

Ask questions in plain language and receive clear answers about trends, comparisons, hotspots, and forecasts.

Explore patterns

Understand what is happening across place and time.

Interactive dashboards make it easier to compare areas, time periods, and incident categories without moving between disconnected reports.

Incident distribution and recurring patterns
Hour, day, week, and period comparisons
Area and category filters

Add context

See what surrounds an incident pattern.

ForeVia connects incident activity with weather, neighborhood indicators, local geography, and nearby facilities so teams can interpret patterns with more context.

Schools, parks, police stations, and other facilities
Geographic and neighborhood indicators
Location-aware proximity views

Forecast activity

Prepare for likely pressure points.

Short-term forecasts support a more proactive view of where attention may be needed. They are designed to inform planning, not replace professional judgment.

Weekly area and category forecasts
Forward-looking trend monitoring
Briefing-ready planning views

ForeVia Assistant

Ask the data in plain language.

Surface answers on trends, comparisons, hotspots, and forecasts without making every user build a report first.

Faster explorationClear summariesBriefing support

Typical use cases

Built to support practical public safety workflows.

01

Hotspot monitoring

Track persistent and emerging concentrations.

02

Leadership briefings

Communicate recent changes and forecast signals clearly.

03

Planning and deployment

Review where and when activity may require attention.

04

Analyst workflows

Reduce repetitive review through guided exploration.

See ForeVia in action

Explore analytics, forecasting, and operational visibility in one place.

View Dashboard Request a Demo

info@denovonet.comData-driven insights. Practical intelligence.

AI-powered predictive care intelligence

Improve outcomes. Lower costs.

Predict. Explain. Intervene.

Preventra transforms healthcare data into timely clinical action and measurable financial outcomes—helping care teams identify risk, prioritize the right intervention, and measure the value of every step.

Request a Demo See how it works

Therapy adherenceReadmission preventionMeasurable ROI

Clinician presenting Preventra predictive care intelligence

Patient riskIntervention window

Risk explained by cost, side effects, and care continuity

Expected impactClinical + financialPrioritize action where it can improve outcomes and protect spend

Illustrative predictive care workflow

Predictive intelligence that leads to action

Go beyond flagging risk.

Preventra identifies patients most likely to discontinue weight-loss therapy or be readmitted, then helps teams prioritize interventions, guide evidence-based care, and quantify the financial impact.

Built on advanced machine learning and real-world healthcare data, it connects predictive insight with coordinated clinical action—so organizations can improve lives while maximizing the return on every healthcare dollar.

The problem

When healthcare data sits in silos, risk—and waste—stay invisible.

Pharmacy, clinical, behavioral, and financial signals often arrive separately. A patient begins therapy, struggles with side effects or cost, stops refilling, and the opportunity to intervene disappears.

The same fragmentation hides avoidable readmission risk. Preventra brings those signals together early enough for teams to act.

PharmacyClinicalFinancialBehavioral

PreventraUnified predictive care intelligence

Earlier actionBetter adherenceLower avoidable cost

How Preventra works

Turn a risk score into a coordinated decision.

Every prediction is designed to answer what to do next—and why it matters.

01

Predict

Identify therapy dropout or readmission risk before the intervention window closes.

02

Explain

Surface the drivers behind each risk signal, from cost pressure to side effects and care continuity.

03

Intervene

Prioritize the patients and actions most likely to improve outcomes instead of using generic outreach.

04

Measure

Connect clinical improvement to avoided costs, optimized spend, and recoverable value.

Explainable patient segmentation

Different patients need different interventions.

Preventra groups patients by clinical, behavioral, and financial patterns so care teams can match each population with the right strategy.

Clinical riskBehavioral frictionFinancial barriersProvider continuity

C0High dropout riskIntervene now

C1Financial barrierResolve access friction

C2Strong adhererMonitor progress

C3Moderate riskTargeted support

Priority use cases

One intelligence layer across the care journey.

Preventra focuses prediction on decisions where timely action can change both a patient outcome and the economics of care.

01

Therapy adherence intelligence

Identify patients likely to discontinue GLP-1 or other long-term therapy before a missed refill becomes treatment failure.

Dropout risk and timing
Explainable adherence drivers
Targeted care-team outreach

02

Avoidable readmission prevention

Recognize emerging readmission risk and coordinate action while the patient can still benefit from timely support.

Patient prioritization
Evidence-based intervention guidance
Value-based care measurement

Who Preventra empowers

Clinical and financial teams, working from the same intelligence.

Hospitals

Reduce avoidable readmissions, strengthen quality metrics, and support better care transitions.

Insurers & ACOs

Direct spend toward patients most likely to benefit and recover value through shared savings.

Employers

Improve treatment completion and understand the real return on high-cost therapies.

Value-based care teams

Connect intervention performance to measurable patient and financial outcomes.

Measurable impact

Smarter clinical decisions. More accountable spending.

01

Improve adherence

Keep more patients on the treatment pathway long enough to achieve meaningful outcomes.

02

Reduce avoidable care

Intervene earlier to prevent readmissions and downstream complications.

03

Optimize every dollar

Quantify which actions create value and where healthcare spend can work harder.

Predict. Explain. Intervene.

Turn predictive care intelligence into better outcomes.

Request a Demo Talk to Denovonet

info@denovonet.comData-driven insights. Practical intelligence.

About Us · Leadership

Built by people who turn ideas into impact.

Founder and Chief Executive Officer

Dr. Salman Iqbal

Over 30 years of experience across engineering, software, technology services, and business leadership.

View profile

Director of Strategy

Imran Bashir

A technology leader and change agent focused on turning complex business challenges into practical innovation.

View profile

Director of Software Engineering

Yassir Ahmed

Over 20 years of experience delivering high-impact software, architecture, and infrastructure projects.

View profile

Lead Data Scientist

Dr. Nilufer Sari

An active researcher connecting urban mobility, geospatial analytics, and machine learning with smart-city development.

View profile

Director of Data Engineering

Dr. Qaisar Malik

Builds resilient batch and real-time data systems that help organizations put high-quality data to work.

View profile

Director, Research and Development

Dr. Khushro Shahookar

Brings 30 years of software-development experience spanning products, delivery, strategy, and R&D.

View profile

info@denovonet.comData-driven insights. Practical intelligence.

Services · Applied intelligence

From complex data to confident action.

We design the data foundations, AI solutions, and decision tools that move an idea from possibility to practical impact.

Explore capabilities Discuss a project

Strategy to deploymentBuilt around your goalsResponsible by design

Technology team collaborating in a modern workspace

Designed around your goals

Delivery arc

ExploreFind the signal

BuildProve the value

ScaleMake it last

What we do

Capability, connected end to end.

Choose a focused engagement or combine capabilities into one delivery path—from first exploration to a production-ready system.

Analytics dashboard showing trends and performance patterns

Find the signal.

Turn raw information into a clear view of what happened, why it matters, and what may come next.

Data analysis & exploration

Clean, transform, and examine data to uncover useful patterns and trends.

Predictive analytics

Forecast trends and outcomes with predictive and time-series models.

Data visualization

Make complex information easier to understand and act on.

Close view of advanced computing hardware and engineering components

Build what fits.

Create practical AI capabilities around the real goals, workflows, and constraints of your organization.

Custom AI solutions

Purpose-built machine-learning solutions aligned to your business challenge.

Natural language processing

Text analysis, classification, entity recognition, chatbots, and assistants.

Proof-of-concept development

Prototype and validate ideas early—before committing to full-scale delivery.

Modern server infrastructure supporting reliable data systems

Make it last.

Put reliable data architecture, governance, and controls beneath every analytical or AI capability.

Data integration & architecture

Scalable pipelines, data warehouses, and data-lake foundations.

Data governance & compliance

Governance frameworks and privacy controls aligned with GDPR and HIPAA.

How we work

Fast enough to learn. Rigorous enough to scale.

We keep delivery practical: understand the decision, prove the value early, and engineer the right foundation for what comes next.

Discover

Frame the decision, success criteria, data landscape, and constraints.

Design

Shape the solution, architecture, experience, and responsible-use controls.

Prove

Build a focused prototype, test assumptions, and quantify practical value.

Scale

Harden, integrate, govern, and support the capability in production.

Connected world illustrating secure, governed data flows

Privacy and data protection

Trust belongs in the architecture.

Denovonet treats data security as fundamental to the ethical and responsible use of AI and machine learning. We help safeguard personal data, protect intellectual property, and align systems with requirements such as GDPR and HIPAA—from the start.

Data governancePrivacy controlsComplianceResponsible AI

Have a data challenge?

Let’s turn it into something useful.

Talk to Denovonet

info@denovonet.comData-driven insights. Practical intelligence.

Portfolio

Case studies and client stories.

Practical examples of how Denovonet turns complex data, AI, and analytics challenges into useful decisions and measurable improvements.

1 featured case study4 client storiesExplore the work ↓

Client storyPredictive analytics

From data overload to market clarity.

A clearer way to understand customer behavior, anticipate market movement, and focus marketing spend.

Challenge · Solution · OutcomeRead story ↗

Client storyData visualization

Turning healthcare complexity into an executive view.

Interactive dashboards made financial, clinical, and operational information easier to understand and act on.

Challenge · Solution · OutcomeRead story ↗

Client storyPrototyping & POC

Proving an AI idea before scaling it.

A focused proof of concept reduced uncertainty before the organization committed to full-scale development.

Challenge · Solution · OutcomeRead story ↗

Client storyPrivacy & responsible AI

Building trust into healthcare intelligence.

Governance, privacy, and ethical-use controls were treated as part of the system—not an afterthought.

Challenge · Solution · OutcomeRead story ↗

No portfolio items match this filter yet.

Featured case study

From reactive response to data-led planning.

A closer look at the challenge, the analytical approach, and the operational value a city safety team can gain from connected forecasting intelligence.

City safety forecasting interface — Urban safety intelligenceTurning historical patterns into better planning for people, place, and time.

Illustrative city program

Planning earlier with a clearer view of risk.

A city safety team needed a clearer way to understand where demand may rise and how limited resources could be positioned more effectively. Historical incident patterns, contextual data, and predictive modelling were brought together to support earlier, more informed operational decisions.

FocusHigh-risk locations and time periods

ApproachHistorical patterns + contextual signals

PriorityResource planning, response, and oversight

Sharper allocation

Focus attention and resources where they may be needed most.

Earlier planning

Move from retrospective reporting toward proactive preparation.

Connected evidence

Bring patterns, geography, timing, and context into one view.

Responsible oversight

Keep transparency, privacy, bias, and human judgement in the process.

Have a challenge worth solving?

Let’s build the next useful story.

Talk to Denovonet

info@denovonet.comData-driven insights. Practical intelligence.

The Denovonet Journal

Ideas that turn data into action.

Plain-language thinking on applied AI, analytics, and building systems people can trust.

5 articlesUpdated regularlyFive concise reads

AI & ML foundations

Brief Introduction to AI-ML and Key Concepts

A clear guide to the data, models, training methods, and learning approaches behind modern AI—plus where they create practical value.

Feb 26, 2026Read article →

Healthcare intelligence

Healthcare: Early Disease Detection with Deep Learning

How deep learning can help clinicians detect subtle patterns in medical images earlier and support more timely intervention.

Mar 26, 2025Read article →

Financial crime analytics

Finance: Fraud Detection Using Machine Learning

A practical look at real-time transaction analysis, adaptive fraud patterns, and the path to fewer false positives.

Nov 15, 2024Read article →

Industrial intelligence

Manufacturing: Predictive Maintenance with IoT and AI

Connecting IoT signals with machine learning to anticipate failure, reduce downtime, and extend the life of critical equipment.

Feb 15, 2024Read article →

Responsible AI

Data Quality, Bias in Algorithms, and Ethical Considerations

The recurring risks that can undermine AI projects—and the governance, testing, and design practices that make outcomes more reliable.

Dec 26, 2023Read article →

No articles match this topic yet.

Have a question worth exploring?

Turn it into the next useful conversation.

Talk to Denovonet

info@denovonet.comData-driven insights. Practical intelligence.

Back to the Journal

info@denovonet.comData-driven insights. Practical intelligence.

Contact Denovonet

Let’s make the next move clear.

Tell us what you are trying to understand, improve, or build. We will connect your enquiry with the right Denovonet team.

Email usinfo@denovonet.com Call us+1 (209) 637-1060

California office

572 Historic St, Mountain House, California 95391, USA

Your message goes directly to the Denovonet team.

LinkedIn ↗X ↗

Start a conversation

What are you working on?

A few details are enough. We will take it from there.

info@denovonet.comData-driven insights. Practical intelligence.

Applied intelligence · modern engineering

AI-ML Technology Capability

Our data scientists and engineers are leaders in the field, able to craft data strategies tailored to client business goals harnessing the power of ML algorithms and methodologies to automate and optimize processes using the most advanced tools, technologies and frameworks.

Denovonet AI and machine learning technology capability — **AI-native by design**From experimentation to production

Our technology stack

Modern AI capabilities, engineered for real-world use.

We apply a modern, AI-native technology stack and smart engineering methodologies to build intelligent, scalable, and production-ready solutions. Our expertise spans leading AI/ML frameworks and platforms such as PyTorch, TensorFlow, Hugging Face, scikit-learn, and XGBoost, alongside Generative AI, Large Language Models (LLMs), Retrieval-Augmented Generation (RAG), agentic AI, embeddings, vector databases, and model fine-tuning. We use Python, Jupyter, APIs, and modern data engineering frameworks to rapidly experiment, validate, and operationalize intelligent models, while technologies such as Apache Spark, Databricks, and cloud-native data platforms support high-volume data processing and analytics.

Our solutions leverage AWS, Microsoft Azure, and Google Cloud for scalable AI infrastructure, MLOps, model serving, and deployment, complemented by Docker, Kubernetes, CI/CD, observability, and automated evaluation for reliable production operations. Beyond individual technologies, we emphasize smart methodologies—including feature engineering, explainable AI, predictive and prescriptive analytics, knowledge retrieval, human-in-the-loop workflows, model evaluation, AI-assisted software development, and continuous learning—to transform complex data into actionable intelligence and measurable business outcomes.

01 · MODEL LAYER

Machine learning & deep learning

PyTorch, TensorFlow, Hugging Face, scikit-learn and XGBoost for model development, experimentation and validation.

02 · INTELLIGENCE LAYER

Generative & agentic AI

LLMs, RAG, embeddings, vector databases, fine-tuning and agentic workflows for context-aware intelligent systems.

03 · DATA & CLOUD

Scalable data platforms

Apache Spark, Databricks, AWS, Microsoft Azure and Google Cloud for high-volume processing and scalable AI infrastructure.

04 · PRODUCTION LAYER

MLOps & reliable deployment

Model serving, Docker, Kubernetes, CI/CD, observability and automated evaluation for dependable production operations.

From idea to operation

Experiment fast. Validate carefully. Operationalize intelligently.

Python, Jupyter, APIs, modern data engineering frameworks, cloud platforms, and production tooling work together as one delivery stack—helping teams move from prototypes to scalable systems without losing rigor.

Denovonet AI-ML mobile technology interface

Model evaluation · experimentation · learning curves

Smart engineering methodologies

Technology matters. The way it is applied matters more.

Our methodology connects model quality, explainability, human expertise and continuous improvement so AI systems are useful in the decisions they are built to support.

Feature engineeringExplainable AIPredictive & prescriptive analyticsKnowledge retrievalHuman-in-the-loop workflowsModel evaluationAI-assisted software developmentContinuous learning

Responsible AI

Ethical Use of AI-ML Technologies

Denovonet is fully committed to ethical use of AI-ML by ensuring that these technologies are developed, deployed, and maintained with fairness, transparency, accountability, and respect for privacy. It requires a commitment to avoiding biases, protecting data, and considering the social and moral implications of AI-ML applications to promote positive and responsible outcomes for individuals and society as a whole.

01Fairness

02Transparency

03Accountability

04Privacy

At Denovonet, we hold the belief that data is the world's most precious resource. We prioritize our clients and collaborate closely with them to comprehend their challenges. Our goal is to foster a culture of excellence centered on data-driven, data-informed, and data-aware strategies, ultimately enhancing efficiency and solving complex problems to drive our clients' growth and advancement.

info@denovonet.comData-driven insights. Practical intelligence.

Applied intelligence · structured delivery

AI Methodology for Solving Complex Problems

A domain-agnostic, outcome-driven, human-centered approach.

Denovonet applies a domain-agnostic, outcome-driven, and human-centered AI methodology to solve complex problems, from understanding business needs and building trusted data foundations to engineering intelligence, developing and validating AI/ML models, and deploying scalable solutions. Its expertise spans Financial Compliance & Risk Intelligence, Healthcare Intelligence, and Urban Safety Intelligence, combining advanced AI/ML, GenAI/LLMs, RAG, data engineering, MLOps, cloud platforms, and responsible AI practices to deliver explainable, secure, actionable, and continuously improving intelligent solutions that translate data into meaningful business and societal outcomes.

7-step frameworkA practical flow from problem definition to deployment, monitoring, and continuous improvement.

3 key domainsFinancial risk, healthcare, and urban safety served through one adaptable methodology.

Responsible by designSecurity, explainability, governance, and human oversight are built into every stage.

Built to scaleAI/ML, GenAI, RAG, data engineering, MLOps, and cloud delivery aligned for production.

Methodology at a glance

Inspired by a structured delivery model, the process is organized into clear, connected stages. Each stage is simple to understand, but together they create a robust path from raw data to measurable outcomes.

1

Define & Understand

Start with the business problem, user context, and measurable objectives.

Clarify goals, KPIs, and stakeholders
Frame the problem, constraints, and risks

2

Data Strategy & Acquisition

Build the trusted data foundation required for meaningful intelligence.

Identify and acquire relevant data sources
Address governance, privacy, and quality

3

Prepare & Engineer Intelligence

Turn raw information into model-ready inputs and higher-value features.

Transform, clean, and integrate data
Create features, embeddings, and domain context

4

Model & Solution Design

Select and design the right AI/ML or GenAI solution for the need.

Develop models, prompts, RAG, or agentic workflows
Balance performance, explainability, and usability

5

Evaluate & Validate

Test the solution rigorously to ensure it is reliable and fit for purpose.

Use robust metrics, backtesting, and scenario analysis
Check fairness, safety, and human-in-the-loop validation

6

Deploy & Integrate

Operationalize the solution within real workflows and technical environments.

Expose as APIs, applications, or services
Enable scale, security, and enterprise integration

7

Monitor, Learn & Improve

Keep the system valuable through monitoring, feedback, and iteration.

Track drift, quality, and business impact
Continuously refine, retrain, and optimize

Cross-cutting principles

Responsible AI & ethicsPrivacy & security by designTransparency & explainabilityHuman-centered designData governanceScalability & cost efficiency

Applying the methodology across key domains

The same methodology adapts naturally across industries. The structure remains stable, while the workflows, data, and outputs are tuned to domain-specific needs.

Financial Compliance & Risk Intelligence

Support compliance, risk detection, and operational decision-making with secure, explainable intelligence.

Detect risk

Prevent crime

Ensure compliance

Generate insights

Use cases: AML/CFT, transaction monitoring, sanctions screening, KYC/KYB, fraud detection, risk scoring, and regulatory reporting.

Healthcare Intelligence

Transform clinical and operational data into predictive, personalized, and efficient care pathways.

Predict outcomes

Personalize care

Optimize operations

Improve outcomes

Use cases: readmission risk, decision support, patient stratification, medical imaging insights, population health, and resource optimization.

Urban Safety Intelligence

Help public-sector teams sense, anticipate, and respond more effectively in dynamic safety environments.

Sense & collect

Detect & predict

Respond & coordinate

Prevent proactively

Use cases: crime prediction, anomaly detection, emergency response optimization, public-safety analytics, and real-time monitoring.

Smart enabling technologies

Denovonet combines engineering depth and AI capability with the modern technology stack needed to move solutions from experimentation to dependable production use.

Data platformsDatabricks, Snowflake, BigQuery, and scalable data architectures.

AI/ML frameworksPyTorch, TensorFlow, scikit-learn, XGBoost, and specialized model tooling.

GenAI & LLMsLLMs, RAG, embeddings, vector databases, prompt design, and fine-tuning.

MLOps & DevOpsMLflow, Docker, Kubernetes, CI/CD, observability, and automated evaluation.

Cloud platformsAWS, Azure, and GCP for scalable infrastructure, model serving, and integration.

Governance & securityPrivacy controls, secure deployment patterns, compliance-aware design, and auditing.

APIs & integrationEnterprise workflows, services, and interoperable intelligence delivery.

Visualization & BIDashboards, explainable outputs, and decision-ready presentation layers.