One unified platform for modern engineering teams
Scalable Machine Intelligence
Scale your favorite coding harness with amplified reasoning quality and token efficiency through multi-agent interleaved planning and parallelized execution. 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
One unified platform for modern engineering teams
Scalable Machine Intelligence
Scale your favorite coding harness with amplified reasoning quality and token efficiency through multi-agent interleaved planning and parallelized execution. Autoformalization translates natural language intent into verifiable specifications, shrinking the generation-verification gap so models prove more and guess less.
generation-verification gap closing
autoformalization
∀x ∈ input: valid(f(x)) ∧ correct(f(x))
spec: NL → formal ✓ verified
Inference Time Architecture
Automated architecture search over sampling, ranking, fusion, and verification finds optimal inference configurations for each task and compute budget. Jujutsu version control gives every reasoning branch a first-class operation log with conflict-free parallel exploration.
Best cfg
95.1%
Tested
847
Branches
4 merged
Unified Infrastructure Services
Infrastructure spend as a first-class metric. Open-source cloud compute delivers one-third to one-half the cost of hyperscaler equivalents, reclaiming margin that compounds into market value. AI-powered observability correlates traces, metrics, and logs across the full stack to optimize intelligence per watt.
TRACES
METRICS
LOGS
[INFO] request processed 12ms
[WARN] latency spike detected
[INFO] auto-correlated with trace
Saved
$28.3k/mo
Intel/watt
94%
Correlated
1247
Securing the Frontier
A unified security graph connects code, cloud, and runtime with eBPF-based runtime detection and continuous posture management across the full software delivery pipeline. Deterministic simulation testing runs your complete system in ephemeral environments, exhaustively analyzes behavior, and delivers root cause with perfect reproduction of every issue found.
code-scanner
CVE-2024-3891 in openssl 3.1.4
ebpf-sensor
syscall:exec from container-7a3f
cloud-posture
IAM policy least-privilege ✓
sca-engine
dependency tree clean · 0 critical
ebpf-sensor
anomalous network egress 10.0.3.41
runtime-guard
lateral movement blocked → quarantine
Deterministic simulation
Root cause captured · perfect reproduction
eBPF events
4,821
Posture
A+
Seeds tested
10,000
Orchestrate Swarm Superintelligence
Thousands of specialized agents coordinating on a shared system of record for decisions — not just state. KV cache compression with selective token pruning and adaptive quantization delivers up to 20x memory reduction, letting swarms share context at scale. Each agent captures structured decision traces that become searchable institutional memory.
shared system of record
12,400 decisions indexed
+ adaptive quantization
Agents
2,048
KV cache
20× compressed
Decisions
12.4k indexed
Unified Infrastructure
Scale without compromise on secure critical systems
Deterministic simulation
4,821
states explored · 48k/s
node = state · edge = fault
⟲ seed 0xdead
partition → NTP +847ms → retry → double-charge $249
Reliability
Autonomous Testing
Ship complex systems faster with massively parallel and autonomous searches in your production environment.
Full-stack monitoring
238 svc · 12.4k hosts · 14 regions · 5 clouds
Services
238
Req/s
18.4k
p99
47ms
Hosts
12.4k
live metrics
top latency · p99
host health · 12.4k
Observability
Full Visibility
See inside any stack, any app, at any scale, anywhere.
Attack paths
Toxic combination
Public exposure + critical CVE + admin role → crown-jewel database
Security
Detect Risks
Protect everything you build and run on your infrastructure with security built in.
ASG · payment-workers
12:00 · $2.88/hr · 93% util · min 2 / max 12
Demand-tracking · scales 2↔12 with load
↓ 58% overnight costAuto-Tuning
Advanced Autoscaling
Keep scaling without worrying about capacity. Never overpay for resources you don't use.
Cost optimization · monthly
$2,920
from $10,000 · saved $85k/yr
6-step reduction · idle → store → move → cloud-ify → pre-pay → repatriate
Cloud Costs
Spend Optimization
Win back your infrastructure with infrastructure spend as a first-class metric.
Recursive Self-Improvement
Accelerate the institution with streamlined data applications
Initiative · Payments Optimization — make every payment self-optimizing
North Star
+$1.0B
Net new revenue by FY27
Unlocked to date
$0M · 0% of goal
Cycle 0 of 8
This quarter
+$0M
ROI multiple
3×
Return on platform spend
ROI by cycle
Payback 16mo
Self-Improving Foundation
Compounding Institutional Value
Models that rewrite themselves—each iteration more accurate and lower cost, built on top of any foundation model.
Self-serve analytics
Portfolio health
NVR
118% ▲
take-rate
2.1%
churn
1.4% ▼
net revenue · 7d
revenue by segment
Expansion · Issuer-X cohort scaling volume
+$2.1MDecision Intelligence
Modern Business Intelligence
Self-serve analytics on a single source of truth—from warehouse to metrics layer to dashboards.
Unified ledger · TPV
revenue by channel
channel share
Stream Processing
Multimodal Data Processing
Stream every event into one lakehouse—operational and analytical data, unified and query-ready.
Fraud prevention · live
−31% loss · +$340k recovered · model v7
fraud $ stopped · streaming
outcome mix
Frontier Intelligence
AI & Machine Learning
Train, serve, and monitor real-time models on your unified data—decisions in milliseconds.
Payments copilot · 24 products
Data Activation
Data Products
Build and embed data products on the platform—clean, governed data with no infrastructure to manage.
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.