- SF Salesforce Enterprise · per seat
- HS HubSpot Suite · per seat
- SL Slack Business+ · per seat
- SN Snowflake Enterprise · all warehouses
- DD Datadog Pro · per host
State a mission.
Everything else spins up
Arrive aimless. Say what you want in plain words, connect your apps, and a running operation takes shape: agents, tasks, loops, and dashboards, with every number verified at the source.
app.deepharness.co
Operations · overview6,352 runs · avg 17.4/day
Activity
Cost · vs alternatives
$0.0kSaved vs. human analysts · 90d
$247your spend
Aimless$247
Human analysts$2.5k
Anthropic frontier$1.2k
OpenAI frontier$417
Trust · false-success14-day trend
0.0%Unverified claims
43 / 708665 verified
Connect to any API, database, or knowledge source
250+ managed connectors · 4,000+ public APIs · your databases and documents become live context your agents reason over
Stripe
GitHub
Salesforce
HubSpot
Slack
Datadog
ServiceNow
Jira
Google Ads
Twilio
Zendesk
ShopifyStripeGitHubSalesforceHubSpotSlackDatadogServiceNowJiraGoogle AdsTwilioZendeskShopify+ any API+ any API
AWS
Azure
Kubernetes
Terraform
Linear
Notion
Segment
MixpanelAWSAzureKubernetesTerraformLinearNotionSegmentMixpanel+ any API+ any API
PostgreSQL
MongoDB
Snowflake
Redis
MySQL
BigQuery
Supabase
Elasticsearch
Pinecone
PDFs & Docs
Confluence
SharePointPostgreSQLMongoDBSnowflakeRedisMySQLBigQuerySupabaseElasticsearchPineconePDFs & DocsConfluenceSharePoint+ any API+ any APIHow it works
One sentence in. A running operation out.
State a mission
Say what you want in plain words, like you would to a colleague. That one sentence is the only spec Aimless needs.
Answer a couple of questions
The orchestrator asks only what it cannot infer, and suggests the data vaults it already expects from your line of work.
Connect your apps
Approve each connection with one click. This is the only manual step, and every vault is scoped, encrypted, and revocable.
Watch it spin up
Agents, tasks, recurring schedules, loops, and skills assemble into a running operation, with live dashboards and every number verified at the source.
How it works
One sentence in. A running operation out.
State a mission
Say what you want in plain words, like you would to a colleague. That one sentence is the only spec Aimless needs.
Answer a couple of questions
Connect your apps
Watch it spin up
No vendor lock-in
Change models. Keep everything else.
Aimless routes each task to the right model automatically — its multi-model router picks for you, so you never hard-wire one. And your data, workflows, integrations, and operational knowledge stay portable across every model you run today or adopt tomorrow.
The model is chosen per task, never locked in. Your business stays yours.
Multi-model router · auto-selects
Claude ChatGPT Gemini Llama …
Stays with you · always
Your dataWorkflowsIntegrationsOperational knowledge
Cost, under control
Reduce AI spend up to 90%.
Most AI environments burn tokens on the wrong model. Aimless scores every request and routes it to the cheapest execution path that can actually handle it — no quality lost, no tokens wasted.
90%
less
token spend
token spend
→ Lower infra cost → Faster responses → Higher throughput
Per-request routing
relative cost
Fast Lookups, classification, drafts $
Strong Analysis, multi-step reasoning $$$
Frontier The hardest problems only $$$$$
Every request takes the shortest bar that can do the job. Simple work never touches a frontier model — so it never costs like one.
No context rot
Long sessions, no slippage.
AI quality usually decays as conversations grow and workflows get complex. Aimless preserves the context that matters and prevents memory drift across long-running sessions and multi-step processes.
Without an intelligence layer
quality fades
With Aimless
held steady
start of session
1,000 messages later
— No context rot — No memory loss — No quality decay
Platform
Everything your operation needs.
Agents, swarms, dashboards, and integrations—all connected in one system.
Agent Builder Create from a prompt Swarm Registry Workflows that learn Dashboards Live operational views Data Discovery Connect to any API Command Bar Smarter every session Approval Gates Human-in-the-loop Cost Cascade Costs drop over time Marketplace Share and monetize
app.deepharness.co
Real-time MTTD and MTTR tracking, 30-day threat detection trends, and endpoint protection metrics across 12,847 endpoints.
Tasks & Loops
Set the goal. A team of agents runs until it's done.
Spinning up a dashboard takes minutes. The work that actually moves the business — recovering revenue, cutting spend, clearing an audit — takes a whole org of agents and swarms that brief each other and report back, iterating until it's done.
Loop
An org that runs until the goal is met
Objective
“Recover the revenue we're leaking — every failed charge, silent downgrade, and unbilled overage, found and fixed.”
Writes the next prompt Reports back
Still short of the number? Results roll back up, the CEO writes a fresh brief, and the agents and swarms go again — cycle after cycle, until billing is airtight.
Task
Runs on the clock
For work that happens at a known time. Schedule a single agent — or a whole swarm.
“Every weekday at 8:00, email me last night's numbers.”
“Every Monday at 7:00, run the SEO swarm and send me the report.”
You stay in control
Speak it into existence
Describe the goal in the command bar. No flowcharts, no code.
Ask-first by default
Agents propose, you approve. Hand over the keys once you trust them.
A hard safety floor
Every loop is capped on iterations, runtime, and spend. It can't run away.
Every step on the record
Who did what, which model ran, and why — a full audit trail.
The SaaS bill
Pay for the call. Not the catalog.
The average team runs on 30+ apps — and uses about 12% of them. Stop paying for the other 88%. Connect any tool, authenticate once. Our pay-per-call model is designed to bill for the endpoints your agents actually hit.
Illustrative example · the model we're building
- SF Salesforce 4 endpoints · per call
- HS HubSpot 3 endpoints · per call
- SL Slack 1 endpoint · per call
- SN Snowflake 2 endpoints · per query
- DD Datadog 1 endpoint · per call
Agents make calls, not clicks.
Your AI doesn't need a seat in Salesforce. It reads four endpoints — and our pay-per-call model is designed to bill for exactly those reads.
Authenticate once.
One OAuth handshake, every endpoint your agents need, forever. No per-team-member seats.
Endpoint-level receipts.
See what every agent called and what it cost — in real time, before the invoice arrives.
Never pay twice.
Results are cached, so identical work isn't recomputed and re-billed. The same answer costs you once.
Set a ceiling.
A per-organization spending cap stops agents before they blow the budget. No surprise bills.
The bundle was the bill. The sliver is the future.
Time back
Hours back, every week.
The recurring chores that disappear the day agents take over — and the time they hand your team back.
Monitoring dashboards by hand
12 hrs / week
NOW Agents watch every metric, around the clock
Reconciling data across tools
8 hrs / week
NOW Synced continuously — no copy-paste
Chasing status across 4+ apps
5 hrs / week
NOW One source of truth, always current
Building each integration
6 weeks → minutes
NOW Connect from a prompt, not a sprint
Added up · per operator
A full day back, every week
The recurring busywork above — 12 + 8 + 5 hours — handled end to end. Plus every integration that used to take weeks, now done from a prompt.
25+
hrs / week
Bring your own AI
Keep the AI you already use. Just harness it.
Standardized on Claude, Copilot, or ChatGPT — or locked into a tool by contract or policy? You don't have to switch. Connect Aimless as an MCP server and the assistant your team already uses can speak agents, dashboards, and monitoring into existence — running autonomous workflows over your enterprise data, with smart routing and governance built in.
The AI you already use
-
Claude - GPT ChatGPT
-
Copilot -
Gemini - OS Open source
- + Your own
Aimless Connected as an MCP server
- Agents Speak them into existence, then run autonomously
- Dashboards Live dashboards from a single prompt
- Monitoring Alarms that watch your data and act
- Workflows Coordinated, multi-agent operations
- Smart routing The cheapest model that fits each task
- Governance Approval gates + full audit trail
Your enterprise
- Salesforce
- Snowflake
- PostgreSQL
- QB QuickBooks
- NS NetSuite
- M MCP servers
Any model
Claude, ChatGPT, Copilot, Gemini, open-source — or the tool your contract mandates. Keep it.
Any MCP environment
Add Aimless as an MCP server to the assistant your team already uses. No migration, no new app.
Any API
250+ managed connectors and 4,000+ public APIs, authenticated once.
Any enterprise data
QuickBooks, NetSuite, CRMs, ERPs, and your own databases become live context.
Adopt Aimless on day one, or never leave the app you already use. The benefit is the same.
It gets better every month.
Other platforms depreciate. This one appreciates.
Month 1
Operations replace manual work
Agents handle your operations. Manual work drops to near zero. You approve, they execute.
Month 3
The system learns your business
Routing optimizes itself. Costs drop as the system learns which model handles what. Agents remember your conventions.
Month 12
Institutional knowledge compounds
New team members inherit a trained operation. The platform knows your business better than your wiki.
Enterprise ready
Built for teams that can't compromise.
Sovereign deployment, defense-in-depth encryption, and full governance—not a roadmap promise, already in the platform.
Data Sovereignty
Your data. Your infrastructure. Zero cloud dependency.
- Air-gapped deployment Deploy fully isolated — no internet required for AI inference. Network-level separation between internal services and the outside world.
- Local model routing Run open-source models on your own hardware. Confidential queries stay on-premises — they never touch a cloud provider.
- Confidentiality classifier 40+ rules auto-classify data sensitivity across four levels. Restricted content is flagged for local-only routing — sensitive data stays on your own models by policy.
Zero-Trust Security
Defense in depth at every layer of the stack.
- Envelope encryption Per-session AES-256-GCM keys via HashiCorp Vault Transit. Data keys rotate automatically — secrets never persist in application memory.
- Crypto-shredding Destroy encryption keys after a configurable TTL. All associated data becomes permanently unrecoverable — SRD-compliant by design.
- Per-agent security controls Each agent has a max classification level, tool restrictions, and audit flags. Exfiltration-capable tools are auto-stripped for sensitive data.
Governance & Compliance
Complete visibility into every action, every decision.
- Role-based access control Three-tier hierarchy — owner, admin, user — with 11 granular permissions enforced at API middleware. No client-side-only checks.
- Full audit logging Tool calls and key agent actions logged with user, IP, and timestamp. Filterable, queryable, with configurable retention periods.
- Multi-tenant isolation Organization-scoped data at the query level. Every database call is tenant-bounded — no cross-organization data leaks by design.
The platform
Built to be trusted, not just impressive.
Every output is checked against your real data before you ever see it.
- Every number is verified against the live source. You see real data, never a made-up figure.
- Agents created from a single prompt. No code, no setup, no framework to learn.
- Connected to your data: thousands of public APIs, managed connectors, your databases, and internal sources.
- Every decision is auditable. See exactly what ran, which model was used, and why.
- Approval gates on sensitive actions. Nothing important happens without your sign-off.
- Costs optimized automatically. Each task runs on the cheapest model that can do it well.
- An open marketplace. Install thousands of ready-made agents and widgets, or generate your own from a prompt.
- Gets better every run. Agents remember what worked and sharpen results over time.
Measured, not promised
The numbers don't lie.
Most AI vendors promise ROI. Aimless measures it. Every session carries full-spectrum analytics that quantify exactly where value is created — and exactly what it cost to create it.
Leadership sees how AI is actually performing, line by line. No dashboards to assemble, no guesswork — the receipts come with the run.
Session report
every run
- Token savings measured per request
- Cost reduction vs. baseline routing
- Routing efficiency cheapest-capable hit rate
- Context preservation drift held to zero
- Model utilization by tier, per workload
- Productivity gains hours returned to the team
Traction
Built with the people who asked for it.
Aimless is shaped by the teams already waiting.
Built with our earliest teams
Shaped hands-on by the operators already running it day to day.
In closed beta
Working closely with our first design partners before we open the doors.
Shipped in the open
Every decision is auditable — what ran, which model, and why.
The landscape
How we compare.
Most frameworks hand you parts to assemble. Aimless hands you an operation that runs.
| Feature | Aimless | OpenClaw | Paperclip |
|---|---|---|---|
| What it is | Full AI operations platform | Personal AI assistant | Agent orchestration framework |
| Agent creation | One prompt, running in minutes | Pre-built, limited customization | Code-first, weeks to deploy |
| Multi-agent coordination | Multiple agents that collaborate and cross-check | Single agent only | Sequential chains, no autonomy |
| Data & dashboards | 50+ live widgets, every number verified | Chat-only, no visualization | No dashboards, logs only |
| Governance | Approval gates, audit trail, cost controls | No governance | Manual monitoring required |
| Best for | Mid-market teams that need AI they can trust | Individual productivity | Developers building custom agents |
"They give you tools. We give you operations."
See detailed comparison
The next era
The first generation of AI delivered intelligence.
The next must deliver outcomes.
The organizations that win won't necessarily have the best models. They'll have the best infrastructure — the layer that makes every model perform.
Not another AI model.
Not another chatbot.
The intelligence layer that makes every AI perform better.
Early access
Ready to stop assembling and start operating?
One prompt. Running by morning. Better by quarter.
Free early access. No credit card. Agent assigned within 48 hours.