01
MULTI-TARGET FORECASTING IN A SINGLE MODEL
Forecast 10000+ KPIs jointly in one unified causal model — not separate models stitched together. Captures cross-target dependencies others miss.
LARGE CAUSAL ARCHITECTURE · CATEGORY LEADER
The World's Most Advanced Forecasting Platform
Powered by the Large Causal Architecture (LCA). Forecast 10,000+ targets simultaneously with built-in causal reasoning, sub-200ms latency, and robust performance on any forecasting dataset.
- 90%+
- Accuracy*
- 34%
- Lower Error
- <200ms
- Latency
- 10,000+
- Targets
- Any
- Dataset (Robust)
WHY FOUNT
MOST FORECASTING TOOLSLEARN PATTERNS.FOUNT LEARNS CAUSATION.
Most forecasting tools learn patterns. Fount learns causation — enabling stable, interpretable, and actionable predictions even when conditions change.
Explore the architectureWHY FOUNT
WE BUILT DIFFERENT.
Seven structural advantages that separate causal foundation models from every other forecasting tool.
02
SUPERIOR LONG-HORIZON FORECASTING
Causal understanding enables accurate predictions far into the future, not just the next data point.
03
BUILT-IN TRANSFER LEARNING
Pre-trained on millions of time series. Fine-tune on your data for instant accuracy.
04
AGILE INCREMENTAL MODELING
Update models in real-time as new data arrives — no full retraining required.
05
NATIVE MULTIVARIATE SUPPORT
Model complex interactions between dozens of variables natively, not as an afterthought.
06
HIERARCHICAL & CROSS-CATEGORY LEARNING
Learn patterns across product hierarchies, geographies, and business units simultaneously.
07
CAUSAL EXPLAINABILITY & WHAT-IF SCENARIOS
Know which drivers caused each outcome and simulate alternative scenarios to guide decisions.
SEE IT WORKING
PRODUCT DEMOS.UNDER 90 SECONDS.
Short, focused walkthroughs of the SDK, multi-target forecasting, and the causal explainability view.
TRUSTED ON ENTERPRISE SCALE
250B+
TRANSACTIONS MODELED
$5T
IN SPEND DATA
1T+
DATA POINTS
Real-time
DAILY INGESTION
BENCHMARK RESULTS
THE NUMBERS DON'T LIE.
Fount consistently outperforms every major forecasting model across standard public benchmarks.
| DATASET | FOUNT LCA | BEST ALTERNATIVE | IMPROVEMENT |
|---|---|---|---|
| M5 Competition | 0.618 | 0.686 (Gating TS Mixer) | 9% |
| Retail (No TI Layer) | 0.889 | 0.934 (Prophet) | 34% |
| Electricity (UCI) | 0.841 | 0.859 (DeepAR) | 31% |
| Traffic (UCI) | 0.108 | 0.127 (TFT) | 15% |
| Weather | 0.168 | 0.176 (Transformer) | 10% |
Lower = better Normalized RMSE
ONE ARCHITECTURE.EVERY ADVANTAGE.
See how Fount's Large Causal Architecture outperforms every major forecasting alternative.
| MODEL | CAUSAL | ACCURACY | SPEED | MULTIVARIATE | MULTI-TARGET | HIERARCHICAL | SCALE | EXPLAINABILITY | DETAILS |
|---|---|---|---|---|---|---|---|---|---|
| Prophet | ✕ | Limited | ✕ | ✕ | View | ||||
| ARIMA/SARIMAX | ✕ | Limited | ✕ | ✕ | View | ||||
| XGBoost | ✕ | Yes | ✕ | ✕ | View | ||||
| TimesFM 2.5 | ✕ | Yes | ✕ | ✕ | View | ||||
| Fount (LCA) | ✓ | Yes | ✓ | ✓ | — |
Rating Scale: 1 = Low, 5 = Best-in-Class
WHY FOUNT WINS
EASIER. ACCURATE.FASTER.
Every claim justified, benchmarked against statistical baselines and state-of-the-art foundation models.
+25%
BETTER THAN STATISTICAL
Accuracy gain over XGBoost, Neural Networks, ARIMA, Prophet on standard benchmarks.
+30%
BETTER THAN STATE-OF-THE-ART
Outperforms TimesFM, MOIRAI, and Chronos foundation models on multi-target forecasting.
<200ms
LOWER LATENCY
Single-call inference across thousands of targets with no per-series model orchestration.
Any
ROBUST ON ANY DATASET
Works out of the box on any forecasting dataset: retail, finance, supply chain, energy, telemetry.
100K+
MULTI-TARGET NATIVE
Joint forecasting across targets, hierarchies, and entities - not stitched-together univariate runs.
3 lines
EASIER TO ADOPT
No trained foundation model. Fine-tune on your data with minimal engineering and low-KPI tuning.
- EASIER
- ACCURATE
- FASTER
- MULTI-TARGET
CUSTOMER IMPACT
TRUSTED BY FORTUNE 500AND FAST-MOVING TEAMS.
15%
REDUCTION IN STOCKOUTS
Leading grocery chain - multi-target demand forecasting.
12%
QUARTERLY PORTFOLIO GAIN
Global investment firm - causal signal intelligence.
1,200+
STORES FORECASTED
Multi-target sales forecasting across stores and SKUs.
WHAT PRACTITIONERS SAY.
ALL TESTIMONIALS★★★★★
"We replaced six bespoke forecasting pipelines with a single Fount fine-tune. Accuracy went up, ops went down."
PRIYA RAO
Head of Demand Science · Global Retailer
★★★★★
"The causal explainability finally let our planners trust the model that changed weekly decisions."
MARCUS LEE
Director, Supply Chain Analytics · Fortune 100 CPG
★★★★★
"Fount multi-target forecasting across 80K SKUs runs faster than our old single-series pipeline."
ELENA GARCIA
VP Demand Engineering · Commerce Platform
★★★★★
"From SDK install to production forecast in a single sprint. The 3-line API claim is real."
DANIEL OKAFOR
Staff Data Scientist · Fintech Scale-up
COMMUNITY
BUILDERS ARE SHIPPINGWITH FOUNT.
Engineers, ML educators, and open-source maintainers are publishing about Fount across YouTube, GitHub, and Instagram.
15K SUBS
@ML_EngineerDaily
"Fount is the first foundation model that actually changes how I think about forecasting pipelines."
OPEN4.2K
openforecast/awesome-causal
"Added Fount to the awesome-causal-ml list - the LCA approach is genuinely new territory."
OPEN61K FOLLOWERS
@datasci.priya
"Replaced six Prophet jobs with one Fount fine-tune. The 3-line claim is real."
OPEN9K SUBS
@AIWeekly
"If transformers were the moment for NLP, the LCA might be the moment for forecasting."
OPEN1.8K
datapoem/fount-examples
"Production notebooks for retail, finance, and supply-chain forecasting with Fount."
OPEN39K FOLLOWERS
@quant.notes
"Causal explainability finally makes forecasting reviewable by non-DS stakeholders."
OPENDEVELOPER EXPERIENCE
PRODUCTION-READYIN 3 LINES.
The same way the transformer gave NLP teams a foundation - the LCA gives forecasting teams a foundation. Your 3 lines sit on top of everything we built.
- Causal graph discovery - automatic
- Multi-target joint forecasting
- Counterfactual simulation
- Sub-200ms inference
- Python, Node.js, and CLI SDKs
FORECAST.PY
import fount
client = fount.Client(api_key="YOUR_API_KEY")
result = client.forecast(
data="business_data.csv",
targets=["revenue", "demand", "churn_rate"],
features=["marketing_spend", "price", "seasonality"],
mode="multi_target",
causal_graph="auto",
horizon=12
)
print(result.causal_graph)
print(result.causal_attributions)
print(result.counterfactuals)DOCUMENTATION
BUILT FOR ENGINEERSWHO READ THE DOCS.
Comprehensive guides, how-tos, full API reference, and runnable notebooks - searchable end-to-end via Ask Fount.
GUIDES
Step-by-step paths from first signup to your first production forecast.
- Quick Start
- Account Registration
- Invite Members
HOW-TOS
Operational guides for full model lifecycle on real datasets.
- Dataset preparation
- Training
- Inference
API REFERENCE
Two-column reference with parameter tables and multi-language code samples.
- Trading & Tuning
- Inference
- Taxing Metrics Models
NOTEBOOKS
Runnable causal-AI notebooks linked to use cases, clone, run, ship.
- Demand & Sales Forecasting
- Inventory Optimization
- Revenue Forecasting
- STEP BY STEP GUIDES
- FULL REST + SDK REFERENCE
- RUNNABLE NOTEBOOKS
- ASK FOUNT AI SEARCH
WORKS WITH YOUR STACK.
Fount integrates with your existing data infrastructure - deploy anywhere.
DATA SOURCES
- Snowflake
- BigQuery
- Redshift
- PostgreSQL
- S3
- Azure Blob
- Kafka
ORCHESTRATION & ML
- Airflow
- dbt
- MLflow
- Databricks
- Jupyter
- Weights & Biases
BI & VISUALIZATION
- Tableau
- Power BI
- Looker
DEPLOYMENT
- AWS
- Azure
- GCP
- On-Premise
PRODUCTION-READY
ENTERPRISE-GRADE.SECURE BY DESIGN.
SOC 2 TYPE II
Independently audited security controls and operational processes.
ISO 27001 & GDPR
Aligned with global standards for information security and data privacy.
ENCRYPTION END-TO-END
AES-256 at rest, TLS 1.3 in transit. Customer-managed keys supported.
VPC, ON-PREM & AIR-GAPPED
Deploy inside your cloud, on-premise, or fully air-gapped — your data never leaves.
ROLE-BASED ACCESS+
AUDIT LOGS+
SSO / SAML+
99.9% UPTIME SLA+
DATA ISOLATION
AVAILABLE ON
GET FOUNT YOUR WAY.
Sign up directly via the Developer Portal, or procure through your cloud marketplace.
DIRECT
DEVELOPER PORTAL
Sign up free in minutes. SDK + API access, yearly billing.
REGISTER
AVAILABLE NOW
AWS MARKETPLACE
Procure through your AWS account. 1 month free trial included.
VISIT LISTING
COMING SOON
GOOGLE CLOUD MARKETPLACE
GCP procurement and billing integration in progress.
NOTIFY ME
COMING SOON
AZURE MARKETPLACE
Microsoft Azure procurement and billing integration in progress.
NOTIFY ME
PRICING
BUILT TO UNDERCUTTHE CLOUD INCUMBENTS.
Transparent, hourly pricing. ~25% lower than AWS Forecast at M5 scale — with fewer experiments needed and faster model discovery.
FREE TRIAL
$0
No credit card required.
- Up to 2 model trainings
- Up to 5 forecasts
- Up to 5 GB data
- 1 month free on AWS Marketplace
PRO · DEVELOPER PORTAL
$12
/hour
AWS $23/hr · Vertex $37/hr
~25% lower cost vs AWS at M5 scale with fewer experiments and faster discovery.
- ~25% lower cost at M5 scale
- Fewer experiments, faster discovery
- Re-use models for incremental training
- Full SDP and API access
MARKETPLACE & ENTERPRISE
1.5x
AWS-billed via Marketplace.
- AWS Marketplace procurement
- Volume and committed-use discounts
- VPC, on-prem, and air-gapped deploys
- Dedicated solutions engineering
FEATURED ON · TRUSTED BY BUYERS
TOP-RATED ACROSSEVERY PRODUCT DIRECTORYTHAT MATTERS.
5-star launch ratings on the directories enterprise buyers actually open when evaluating forecasting platforms.
5.0
AVG RATING
6
DIRECTORIES LISTED
100%
5-STAR REVIEWS
TOP 10
FORECASTING CATEGORY
FAQ
COMMONQUESTIONS.
Quick answers on causal forecasting, deployment, and how Fount differs from pattern-based models.
SEE ALL FAQSSTART BUILDING WITH FOUNT
SEE WHAT FOUNTCAN DO FOR YOU.
Free tier available. No credit card required. Multi-Target and Single-Target forecasting - production-ready in minutes.
EXPLORE USE CASES
VIEW ALL