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Healthcare
HIPAA-aware platforms for clinicians and patients.
- Patient & provider portals
- Telemedicine & scheduling
HL7/FHIRSecure APIs
Discuss a Healthcare projectSee what's coming before it does.
Forecasting and predictive models built on your data turning history into clear, confident projections so you can plan ahead instead of reacting.
Predictive AnalyticsArtificial Intelligence Human in loop
ForecastDataClear
100+Projects shipped
9+Years building
6Disciplines
30+Services offered
Overview
Plan ahead with confidence
Your history holds signal we turn it into foresight.
Forecast
ahead
Data
driven
Clear
insights
- Forecasts what's nextProjects demand, churn, revenue whatever matters.
- Spots trends earlyCatches shifts before they show up in reports.
- Quantifies confidenceEvery prediction comes with a clear confidence band.
- Built on your dataModels trained on your numbers, in your context.
- Python
- scikit-learn
- Pandas
Overview
Plan ahead with confidence
Your history holds signal we turn it into foresight.
We build models on your data that forecast demand, spot trends early, and quantify uncertainty, so you can plan instead of react.
How it works
Your prompt & dataPythonInstant action
On your data
Grounded with retrieval
Guardrailed
Safe, on-policy outputs
Human in the loop
You stay in control
Forecastahead
Datadriven
Clearinsights
exarth-ai overview.log running
$ exarth-ai init --service "Predictive Analytics"
→ loading model Pythonok
→ grounding on your data (RAG)ok
→ guardrailson
› capabilities [4]:
01Forecasts what's nextloaded
Projects demand, churn, revenue whatever matters.
02Spots trends earlyloaded
Catches shifts before they show up in reports.
03Quantifies confidenceloaded
Every prediction comes with a clear confidence band.
04Built on your dataloaded
Models trained on your numbers, in your context.
✓ ready · 4 modules · human-in-the-loop
Python · scikit-learn · Pandas ~0.8s Uptime targets per SLA
What we build
The stack we assemble
Proven building blocks, assembled and wired end to end.
5building
blocks
blocks
- Data pipelinesClean, structured, model-ready data from your sources.3
- Forecasting modelsProject demand, revenue, and more with confidence.3
- Anomaly detectionCatch the unusual before it costs you.3
- SegmentationFind the patterns hidden in your data.3
- MLOpsKeep models accurate and fresh over time.3
- scikit-learn
- Prophet
- XGBoost
- SQL
What we build
The stack we assemble
Every solution is built from proven, production-ready building blocks. Here's the stack that comes together for this service, assembled and wired end to end.
blocks
- 01
Module 01
Data pipelines
Clean, structured, model-ready data from your sources.
- Ingest
- Transform
- Features
- 02
Module 02
Forecasting models
Project demand, revenue, and more with confidence.
- Demand
- Revenue
- Seasonality
- 03
Module 03
Anomaly detection
Catch the unusual before it costs you.
- Outliers
- Alerts
- Drift
- 04
Module 04
Segmentation
Find the patterns hidden in your data.
- Clusters
- Cohorts
- Personas
- 05
Module 05
MLOps
Keep models accurate and fresh over time.
- Monitoring
- Retraining
- Versioning
Assembled, tested, and shipped. one working AI system, with humans in the loop.
Why this approach
Custom-built vs the alternative
Same job, two very different outcomes.
Recommended
Custom-built with Exarth
Models built on your data that forecast ahead, quantify confidence, and stay accurate over time.
Alternative
Spreadsheets / looking backwards
Static spreadsheets and dashboards that only tell you what already happened.
- DirectionLooks ahead
- ConfidenceQuantified uncertainty
- BasisYour data & context
- SignalSpots trends early
- AccuracyRetrained over time
Reacting to last month's numbers is too late; forecasting lets you plan and act before things happen.
Build it the right wayHow we work
From idea to production
Four phases with demos and deliverables at every step.
- Week 1–201
Prepare
We clean and engineer your data.
- Week 2–402
Model
We train and validate forecasting models.
- Week 4–503
Visualise
We surface forecasts in clear dashboards.
- Week 5+04
Maintain
We monitor and retrain to stay accurate.
Technology
Built on a modern AI stack
Tools chosen to fit the problem, not the hype.
SpeedSecurityScalabilityMaintainability
- Modelling3Accurate predictions.
- scikit-learn
- Prophet
- XGBoost
- Data3Reliable, fresh data.
- SQL
- Pandas
- Airflow
- Viz3Clear, shareable insight.
- Plotly
- Grafana
- BI tools
- MLOps3Models that stay accurate.
- Monitoring
- Versioning
- CI/CD
Sectors we engineer for
Industries built for real friction
Pick a sector to see what we build for it.Each vertical has different compliance, UX, and scale demands. Pick a sector to preview exactly what we build for it.
Healthcare
HIPAA-aware platforms that put clinicians and patients first.
Discuss a Healthcare project01 / 10
What we build
- Patient & provider portals
- Telemedicine & scheduling
- HL7/FHIR data exchange
Tech & focus
- HL7/FHIR
- Secure APIs
- Patient UX
Featured work
Featured work
Exarth built Eyden as a location-aware AI gardening copilot calendars, a virtual garden planner with AI tasks, and a chat assistant grounded on plant care knowledge.
Eyden AI: a gardening copilot with chat that growers actually use
AI · Gardening copilot
AI
garden copilot
Chat
assistant
Location
aware care
The challenge
Growers needed more than a blog: timely, location-aware guidance and a chat path that answers plant questions without sending them hunting through articles.
- Built a location-aware AI gardening copilot
- Added calendars, planner tasks, and chat
- Grounded answers on plant-care knowledge
Eyden AI: a gardening copilot with chat that growers actually use
AI · Gardening copilot
The challenge
Growers needed more than a blog: timely, location-aware guidance and a chat path that answers plant questions without sending them hunting through articles.
What we built
- Built a location-aware AI gardening copilot
- Added calendars, planner tasks, and chat
- Grounded answers on plant-care knowledge
- Shipped web and mobile experiences together
Built with
- React / Next.js
- Django + Node
- AI
The results
AIgarden copilot
Chatassistant
Locationaware care
Exarth delivered the whole SeedsWild ecosystem: the marketplace with AI seed recommendations, seller wallets, and the mobile apps our growers use across Europe. One team owned web, mobile and product, and it showed in every release.
The result
AI that earns its keep
Results your business feels once it's live.
Forecastahead
Datadriven
Clearinsights
Plan aheadForecasts you can build a plan on.
Spot it earlyCatch trends and risks before they bite.
Smarter callsDecisions grounded in real probability.
01
Plan ahead
Forecasts you can build a plan on.
- Forward-looking
- Confident
- Actionable
02
Spot it early
Catch trends and risks before they bite.
- Early signals
- Fewer surprises
- Proactive
03
Smarter calls
Decisions grounded in real probability.
- Data-driven
- Quantified
- Repeatable
Client voices
Hear it from our partners
Real partners. Real results.The teams who shipped with us, in their own words.
“Exarth understood government workflows and delivered a system our teams rely on every day.”
LMIS brought establishment registration, worker records, RFID cards and contributions onto one secure platform for ESSI. Exarth understood government workflows and delivered a system our teams rely on every day.
Exarth delivered the whole SeedsWild ecosystem: the marketplace with AI seed recommendations, seller wallets, and the mobile apps our growers use across Europe. One team owned web, mobile and product, and it showed in every release.
Exarth built GR1P and First Line Defense for us, from the AI fit recommendations and the iPad hand-scan kiosk to the admin dashboard and POS. They understand both the AI and the retail floor, and they ship.
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