One unified platform for modern engineering teams
Scalable Machine Intelligence
Interleaved planning and parallelized execution reduce sequential token cost by up to 39% without sacrificing reasoning quality. Autoformalization translates natural language intent into verifiable specifications, shrinking the generation-verification gap so models prove more and guess less.
Inference Time Architecture
Unified Infrastructure Services
Securing the Frontier
Orchestrate Swarm Superintelligence
generation-verification gap closing
Unified Intelligence
Scale without compromise
Fleet · fsn1 + nbg1
running across 3 zones
~1.2s cold boot
Firecracker + Jailer
KVM nativeRecent launches
vm-a1b2c3
gp.large · fsn1-a
1241ms
vm-d4e5f6
cpu.2xlarge · fsn1-b
1089ms
vm-g7h8i9
mem.xlarge · nbg1-a
1387ms
Simplicity
Infrastructure Services
Ship at unprecedented speeds with compute, storage, and networking all unified in one autoscaling platform.
CPU · payment-api
5 services
all healthy · live trace
Live traces
Observability
Full Visibility
See inside any stack, any app, at any scale, anywhere.
Scenarios run
4,821
100% reproducible
clock-skew × idempotent — violation
NTP +847ms caused duplicate capture. Seed 0xdeadbeef · 10/10 reproduced
Testing
Catch Chaos
Redefine reliability for critical systems through deterministic simulation testing so your system always behaves as intended.
Agent VMs · live
parallel VMs processing
Isolated Firecracker sandbox per agent
No cross-tenant memory — hardware-enforced
100% isolatedAI
Scale Agents
Enable unprecedented productivity with infinitely scalable virtual environments for AI agents.
nftables · VPC sg-prod
WireGuard host-to-host encryption
All overlay traffic encrypted · conntrack stateful
Security
Detect Risks
Protect everything you build and run on your infrastructure with security built in.
Recursive Self-Improvement
Infrastructure has never been easier
Deterministic simulation
scenarios · 100% deterministic
clock-skew × idempotent
NTP +847ms · duplicate $249 charge
Seed 0xdeadbeefLive execution
Reliability
Autonomous Testing
Ship complex systems faster with massively parallel and autonomous searches in your production environment.
Deployment · v2.4.1
build
zero-downtime rolling deploy
Auto-rollback if error rate > 0.1% · HAProxy hot reload · 0 downtime
Deployment
Release Faster
Your product, delivered with security, speed, and AI included, so you can focus on your user.
ASG · payment-workers
00:00 UTC · $2.88/hr
Target tracking — 60% CPU
Scale 2→12 in 2 min · warm pool ready
↓ 58% overnight costAuto-Tuning
Advanced Autoscaling
Keep scaling without worrying about capacity. Never overpay for resources you don't use.
Data sources · live
3.4M events/hr
AI insights
risk-vm-pool: scale 8→3 replicas 22:00–06:00 UTC → save $340/mo
payment-api: p99 degrading since deploy v2.4.0 — rollback candidate
Insights
Data Intelligence
Develop generative AI applications and democratize insights with a data-centric approach.
Monthly cost
$2,920
vs AWS $10,000
Repatriation
Cloud Costs
Win back your infrastructure with infrastructure spend as a first-class metric.
Analytics
Foundation Models for Structured Data
Develop generative AI applications on your data without sacrificing data privacy or control.
The bottleneck has never been the data — it's been making structured data meaningful enough to power prediction, natural language queries, and autonomous agents. Dawn's semantic layer canonicalizes your tables so that BI, data science, and AI all work from the same definitions.
- Semantic Layer and dbt Transformations. Define metrics, business logic, and typed relationships once. Every downstream tool — dashboards, models, agents — queries from the same canonical layer, eliminating the inconsistency that makes structured data hard to trust.
- In-Context Learning for Structured Data. Accelerate real-world operational outcomes with foundation models developing insights and predictions over proprietary data growing at an exponential volume.
- BI, Data Science, and AI from One Stack. The same semantic layer that powers your dashboards gives AI agents the business context they need to answer real questions — not just generate SQL, but understand what the data means.