Forecasts with honest ranges
Agni Predict turns your time-series data into calibrated p10 / p50 / p90 forecasts in minutes. Powered by our proprietary forecasting foundation model, deployable in the cloud or fully inside your own infrastructure.
Foundation model · UK / EU residency · Cloud or on-prem · No data egress in private mode
Explore the Agni Predict interface
A guided walkthrough of how forecasts are presented. It runs on sample series in your browser, not on a live model. Select a series, adjust the horizon, and toggle p10 / p50 / p90 bounds.
Start in the cloud, move to your own infra
Same model, same API. Switch between cloud, private deploy, and your own fine-tuned checkpoint without rewriting a line of integration code.
Cloud Forecast API
Self-serve. Pay by the forecast.
- POST a CSV or JSON of historical series
- Receive point + p10 / p50 / p90 ranges
- Optional covariates (promos, weather, holidays)
- p95 latency under 3s for ≤100 series
Private Deploy
Docker image. Your VPC. Zero egress.
- Weights baked in, runs fully offline
- Helm chart for Kubernetes
- Per-node annual licence with updates
- Ideal for regulated and on-prem workloads
Domain-Tuned
Your data. Your private checkpoint.
- Upload 6–24 months of historical data
- Overnight LoRA fine-tune (1–4 GPU-hours)
- Private checkpoint, served from Cloud or Private
- Re-tune quarterly included
The boring stuff done properly
Calibrated ranges, not false precision
Every forecast ships with p10 / p50 / p90 quantiles. Your team sees the uncertainty, not just a single line pretending to be the truth.
Zero-shot, then domain-tuned
Start with our pretrained forecasting foundation model. When you're ready, fine-tune on your own data for a private checkpoint that beats generic baselines on your domain.
Your data stays where you put it
Cloud mode runs in eu-west with no third-party telemetry. Private mode runs entirely inside your VPC — historical data and forecasts never leave your network.
Backtest before you commit
We ship a one-click backtest notebook so you can compare Agni Predict against your current baseline on 12 months of your own history, before paying for a single seat.
Built for decisions, not dashboards
Retail demand
Forecast SKU × location × week with promo and holiday covariates. Replace brittle Prophet pipelines with calibrated ranges your replenishment team can actually trust.
SaaS & fintech KPIs
MRR, churn cohorts, cash runway, treasury forecasts. Honest p10–p90 bands replace overconfident single-point projections in your board pack.
Energy & utilities load
Half-hourly load forecasting with weather covariates. Self-hostable for grid operators and regulated reporting workloads.
Field ops & logistics
Call volume, ticket volume, delivery ETAs. Plan staffing and fleet capacity from the same model your finance team uses for cash forecasts.
Annual-first. No hidden compute charges.
A 14-day free trial on the Starter feature set. No card up front. Annual billing rewarded with the prices below; monthly available at +20%.
Starter
Single team, up to 50 series
- 25,000 forecast credits / month
- Cloud Forecast API
- p10 / p50 / p90 ranges
- Email support, 1 business day
Growth
Multi-team, up to 2,000 series
- 250,000 forecast credits / month
- Covariates (promos, weather, holidays)
- Async batch jobs
- Shared Slack support, 4 hour SLA
- One backtest workshop with our team
Scale
Vertical specialist, domain-tuned
- 1,000,000 forecast credits / month
- One LoRA fine-tune per quarter
- Private checkpoint, served via your tenant
- 99.9% uptime SLA, named CSM
Private Deploy
Regulated and on-prem workloads
- Docker image + Helm chart
- Per-node annual licence
- Quarterly model updates included
- Named customer success manager
A forecast credit = one series, one forecast call, up to horizon 90 and context 1024. Larger horizons and contexts consume proportionally more credits. Full credit math published in the docs once Agni Predict goes GA.
Proven foundation. Honest posture.
Proprietary foundation model
Agni Predict runs on our own pretrained forecasting foundation model. You retain full ownership of any private checkpoint fine-tuned on your data.
UK & EU data residency
Cloud mode runs in eu-west by default. Private Deploy runs entirely inside your own infrastructure for US, APAC, or regulated workloads where data residency is mandatory.
Aligned with UK GDPR
Article 13 notices, DPA on request, SCCs for any sub-processor. We do not pursue SOC 2 or ISO certifications at launch and never claim them — we phrase posture as 'aligned with', not 'certified'.
Honest about the limits
Univariate model. Very short or intermittent series get flagged, not silently forecast. Covariate pipelines are audited against known model limits before any release.
Join the Agni Predict waitlist
Tell us about your forecasting work. Design partners get six months of Growth tier in exchange for a case study.