Ship cycle
4x
Accelerate your ship cycle by 4x with Cosmos.
Agentic software development
at organizational scale.
Your engineers have agents. Your organization doesn't.
Cosmos is the platform that closes the gap.
Ship cycle
4x
Accelerate your ship cycle by 4x with Cosmos.
Resolved early
70%+
of pages resolved before the on-call engineer joins.
Engineering hours
-30%
Ship the same roadmap with 30% fewer engineering hours.
Trusted by enterprise-scale companies
99% of your engineers have adopted agents.
Your organization hasn't.
Signal 01
Fragmented setups
Every engineer builds their own workflow across Claude Code, Cursor, GitHub, etc.
Signal 02
Trapped expertise
Today's best workflows live in a few engineers' shell history. Sharing at best is done via markdown files in Slack or repos.
Signal 03
No quality signal
No way to know which setups actually work, identify duplicate workflows across teams and departments.
Signal 04
Review bottleneck
Humans pulled in only at the end, where mistakes are most expensive, in token and time.
Agents own the whole loop.
Not just the code.
Cosmos ships with experts for every stage of the software development lifecycle. Each one owns its slice end to end, hands off to the next, and pulls humans in only at the checkpoints that matter.
Triage
Work Dispatcher
Scans open tickets, applies a triage rubric, and dispatches the right expert as a worker.
Author
PR Author
Takes a task description and drives it from first commit through merge.
Review
Pair Review
Reviews changes alongside the author, in flight.
Deep Code Review
Reads the PR end to end and posts inline review comments.
PR Risk Analysis
Surfaces blast radius, security exposure, and migration risk.
Verify
Tester
Exercises the change end to end and posts results, screenshots included.
Build your own/Use the experts we ship, or from our library, fork them, or build your own. Every expert is a reusable template with its own environment, capabilities, and memory.
+Unified Agents Platform+
Meet Cosmos.
Cosmos runs your software agents at scale, giving them the context, tools, and feedback loops they need to get better with every workflow.
Cosmos
Unified Agents Platform
+ Services
Expert Registry
Discover and share
Human-in-the-Loop
Smart escalation
Integrations
Slack · GitHub · Jira · CI
Organization Knowledge
Shared memory & knowledge across agents & teams
+ Cosmos Core
Agent Runtime
Scheduling, isolation
Context Engine
Codebase understanding
Trigger & Automation
Software development lifecycle triggers
Shared File System
Tenant and user level
Sandboxes
Isolated execution
+ Works Everywhere
Laptops
Local dev
Dev VMs
Codespaces · Devcontainers
Our Cloud
Managed · Zero setup
Your Cloud
AWS · GCP · More
Small teams of humans.
Large teams of agents.
Huge outcomes.
Here is how one customer multiplied throughput with Cosmos: PRs merged go up while median time to merge goes down.
resolved early
70%+
of pages resolved before the on-call engineer joins.
patched fast
60%+
of CVEs automatically remediated.
+Benchmark · same model · same tests+
Our Context Engine.
Same model.
Half the bill.
That's the gap between agents that understand your codebase and agents that grep it. Most agents search by keyword and send everything they find back to the model. Our Context Engine maps your codebase by structure. What calls what. What's active. What's deprecated. Our agents pull only the slice the task touches.
Cost × pass rateSame five configurations · one plot
Terminal Bench 2.0x = cost · y = pass rate[ fig. 03 / scatter ]Pass rate · higher is better ↑Percent of tasks the agent solved against the benchmark's official test harness. A couple points of variance is normal across runs.
Cost (USD) · lower is better →Total dollars spent on the run at provider pricing. Sums input, output, and cache read/write tokens.
Token consumptionWhere the savings come from
SWE-Bench ProAugment vs Claude · Opus 4.7[ fig. 04 / tokens ]Total tokensSum of input, output, cache read, and cache write tokens. The bill is computed from this.0.0%
Augment
1.65B
Claude
3.54B
Cache readsHistorical context replayed each turn. Most agents re-send the same candidate files every turn because they don't know which one matters; Augment's Context Engine sends only the slice the task touches.0.0%
Augment
1.58B
Claude
3.42B
Cache writesNew context tokens written to the cache so the next turn can read them back.0.0%
Augment
52.8M
Claude
117.4M
Saved per run$920.70Pass rate+0.4%
No training on your codeSOC 2 Type IIISO/IEC 42001Zero data retentionCMEK encryptionProof-of-Possession APIVPC deploymentSingle-tenant instancesSandboxed agent executionBYOK for modelsData residency controlsSAML / OIDC / SCIMGranular RBACAudit logs + SIEMReplayable runsHuman-in-the-loop policiesNon-extractable architectureGDPR · CCPA · HIPAABAA availableOn-prem deploymentDedicated account teamIndemnified in our terms
No training on your code
SOC 2 Type II
ISO/IEC 42001
Zero data retention
CMEK encryption
Proof-of-Possession API
VPC deployment
Single-tenant instances
Sandboxed agent execution
BYOK for models
Data residency controls
SAML / OIDC / SCIM
Granular RBAC
Audit logs + SIEM
Replayable runs
Human-in-the-loop policies
Non-extractable architecture
GDPR · CCPA · HIPAA
BAA available
On-prem deployment
Dedicated account team
Indemnified in our terms
No training on your code
SOC 2 Type II
ISO/IEC 42001
Zero data retention
CMEK encryption
Proof-of-Possession API
VPC deployment
Single-tenant instances
Sandboxed agent execution
BYOK for models
Data residency controls
SAML / OIDC / SCIM
Granular RBAC
Audit logs + SIEM
Replayable runs
Human-in-the-loop policies
Non-extractable architecture
GDPR · CCPA · HIPAA
BAA available
On-prem deployment
Dedicated account team
Indemnified in our terms
SOC 2 TYPE IIISO/IEC 42001HIPAABAA
Built for the enterprise.
Cosmos runs inside your perimeter. On your keys. Under your policy. We never train on your code. Not now, not ever.
Every action observable. Every action auditable. Every action that matters approved by a human.