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Medovac
Autonomous data science, in production

Ship decisions, not dashboards.

Medovac turns raw operational data into governed, production-grade intelligence. Our platform automates the data science lifecycle: ingestion, feature engineering, modeling, causal analysis, and monitoring, so analytics teams move from question to decision in hours.

SOC 2 Type IIISO 27001HIPAA readyGDPR
Live platform telemetry
streaming
records/s
48,213
p50 latency
1.9s
models live
1,284

Built with and trusted alongside

AWSNVIDIAGoogle CloudMicrosoft AzureSnowflakeDatabricksdbt LabsConfluentAWSNVIDIAGoogle CloudMicrosoft AzureSnowflakeDatabricksdbt LabsConfluent
The platform

Five engines, one governed data plane

Each engine automates a stage of the data science lifecycle. Together they take you from raw records to a decision you can defend.

By the numbers

Rigor that holds up under load

Aggregated across Medovac production deployments in regulated industries.

0.0T
Records processed monthly
across customer data planes
0%
Median analyst time saved
on recurring modeling work
0+
Enterprise deployments
in regulated industries
0.00%
Platform uptime
trailing 12 months
Measurable impact

What autonomous data science looks like in the numbers

Real patterns from Medovac deployments: faster delivery, lower error, and throughput that scales with your business.

Time from raw data to governed production

Traditional data science workflow47 days
notebook to governed production
In-house platform build21 days
Medovac autonomous platform3 days
connect, automate, ship

Median across comparable enterprise projects. Lower is better.

Monthly throughput growth

SepNovJanMarMayJulAug

Records processed per month, in billions, trailing 12 months.

Forecast error by approach

Seasonal-naive baseline18% MAPE
Classical (ARIMA / ETS)14% MAPE
Medovac Forecast9% MAPE
temporal fusion + conformal intervals

Mean absolute percentage error on held-out backtests. Lower is better.

Outcomes customers report

0%
Analyst time reclaimed
vs. manual pipelines
0%
Lower forecast error
vs. prior baseline
0%
Fewer false alerts
with adaptive thresholds
0%
Fewer ad-hoc requests
answered by Atlas
How it works

From raw records to a defensible decision

Medovac closes the last mile of analytics. Every stage is automated, governed, and observable, so your team spends its judgment where it matters.

  1. 01

    Connect your lakehouse

    Read-only connectors profile every table and build a governed semantic model.

  2. 02

    Automate the lifecycle

    Signal engineers features, Forecast and Causal model outcomes, Sentinel monitors health.

  3. 03

    Ask and act

    Atlas answers plain-language questions with lineage, and recommendations flow to where work happens.

Live platform telemetry
streaming
records/s
48,213
p50 latency
1.9s
models live
1,284

Representative telemetry from a live Medovac data plane.

Newsroom

What's new at Medovac

FundingNov 2023

Medovac raises $85M Series B led by Andreessen Horowitz

The round accelerates research into causal inference and the Atlas semantic layer.

ProductSep 2024

Atlas brings governed natural-language analytics to every team

Ask questions in plain language and get answers grounded in certified metrics with full lineage.

PartnershipJun 2024

Medovac joins the NVIDIA Inception program

Deepening GPU-accelerated training and inference across the forecasting and causal engines.

See Medovac on your own data

Book a technical walkthrough with our field data science team. We will connect a sample of your data and show governed, production-grade intelligence in under an hour.