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Agentic software development
at organizational scale.

Throughput

2–3×

Engineering throughput.

Merge time

66%

Reduction in time to merge.

Token cost

33%

Lower token cost across the SDLC.

Trusted by enterprise-scale companies

Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com
Webflow
Pigment
Adobe
MongoDB
Pure Storage
DXC
DDN
Tekion
Snyk
MoneyGram
Crypto.com

The challenge today

Individual adoption is not
organizational transformation.

Teams expected agents to multiply output. Most got 20-30%. The best engineers got faster, but the system around them didn't change.

Today's agents are the worst they'll ever be. As they take on more complex work, the limiting factor shifts from generation to coordination.

Expected

2-3x

Throughput uplift

Reality

20-30%

The ceiling most teams hit

+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.

What makes Cosmos different

Four capabilities, one platform.

01 / Prism

Model routing

Route each turn to the right model

Prism routes each turn to the right model, preserving frontier quality at 20-30% lower cost per task.

20-30%

Lower cost per task

Learn More

02 / Model agnostic

Vendor choice

Use the best model for every task

No vendor lock-in. Route each task to the highest-ROI model, bring your own keys, and adopt open-weights as they ship.

BYOK

Frontier and open models

Learn More

03 / Context Engine

Codebase context

More outcome, fewer tokens

The Context Engine maps your codebase by structure, then gives agents only the slice of context the task touches for 33% lower token cost.

33%

Lower token cost

Learn More

04 / Self-learning Knowledge

Team memory

One team's workflow lifts the org

Knowledge compounds as teams give feedback. Shared memory, reusable experts, and the shared virtual file system turn power-user gains into standard practice.

5% -> 95%

Engineers become AI-native

Learn More

Your Experts on top.
Your infrastructure below.
Cosmos orchestrates the work.

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

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, choose from our library, fork them, or build your own. Every expert is a reusable template with its own environment, capabilities, and memory.

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.

Customer outcome5 month window[ fig. 04 / throughput ]
PRs mergedMedian time to mergeMonth 1Month 2Month 3Month 4Month 5
PRs mergedMedian time to merge

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.
$0$250$500$75060%65%70%75%80%BEST ↗Augment - GPT 5.4Augment - Gemini 3.1Augment - GPT 5.5Augment - Opus 4.7Claude Code - Opus 4.7
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
2.35B
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
2.27B
Cache writesNew context tokens written to the cache so the next turn can read them back.0.0%
Augment
52.8M
Claude
63.8M
Saved per run$421.34Pass rate+1.9 pts
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