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Aramb

Aramb

AI

Agent platform bundling runtime, voice, browser, sandbox, memory, tools and billing so you can ship and monetize an agentic SaaS.

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About Aramb

Aramb is a control plane for building, launching and monetizing AI agents, built on the observation that every agent product ends up rebuilding the same seven services. Instead of stitching nine vendors and a Redis together, Aramb ships them as one metered platform: a model-agnostic agent runtime that routes on price, latency or intent; sub-400ms realtime voice pipelines behind a single interface for Whisper, ElevenLabs, Cartesia and Deepgram; headless Chrome that survives captchas, logins and six-hour sessions; ephemeral per-tenant Linux sandboxes for tool use; a combined vector, episodic and semantic memory layer; 3,000+ pre-authed integrations with OAuth, refresh, retries and rate limits solved once; and a billing primitive where every service emits a usage event you can pipe to Stripe, Paddle or your own ledger. Non-developers describe an agent in plain English, preview it, launch it to a site, a schedule or a phone line, and rent it out; developers get the same primitives in roughly six lines of code. Everything runs on one shared credit pool with per-end-user metering, so platforms can rebill their own customers at their own markup, and idle agents cost nothing. Operational details reflect real production concerns: silent failover across three vendors per primitive, region pinning by header, fenced sandboxes, replayable audit trails, no vendor lock-in, and a patent-pending token compressor (ATK) that trims prompt context to cut model spend by up to 50%.

Screenshots

Aramb screenshot 1
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Key Features

Seven Primitives, One Control Plane: Agent runtime, voice, browser, sandbox, memory, tools and billing ship as a single metered platform instead of nine separate vendor accounts.
Model-Agnostic Routing: Route any request to any provider on price, latency or intent, and swap models by changing a string rather than rewriting the agent.
Realtime Voice Pipelines: Sub-400ms voice behind one interface that fronts Whisper, ElevenLabs, Cartesia and Deepgram, with silent failover if a provider goes down.
Durable Headless Browser: Managed Chrome sessions that survive captchas, logins and six-hour runs, with every click metered as billable work.
Fenced Per-Tenant Sandboxes: Ephemeral Linux VMs for tool use, isolated per end-user and metered by the second so nothing leaks between your customers.
Unified Memory Layer: Vector, episodic and semantic memory behind one query surface with per-tenant namespaces, removing custom RAG plumbing.
3,000+ Pre-Authed Tools: Integrations arrive with OAuth, token refresh, retries and rate limiting already handled, at a 27ms median tool latency.
Usage Events and Rebilling: Every primitive emits a tagged usage event per end-user id, so you can pass it to Stripe or Paddle and rebill customers at your own markup.
Aramb Token Kompressor: Patent-pending prompt and context compression that cuts LLM token spend by up to 50% for the same output.

Use Cases

Launching an Agentic SaaS: Ship a billable agent product in an afternoon without assembling separate vendors for models, voice, browser, memory and payments.
Back-Office Automation: Run agents that triage inboxes, chase invoices, reconcile books, file expenses and close tickets on a schedule.
Voice Support and Sales Lines: Stand up realtime voice agents that answer calls, qualify deals and book meetings with sub-400ms turn latency.
Browser-Driven Workflows: Automate long-running logged-in web tasks such as booking flights, pulling reports or navigating portals that lack an API.
White-Label Platforms: Meter every session to an end-user id and rebill tenants, using per-tenant metering and volume credits on the Fleet plan.
No-Code Agent Building: Let non-engineers describe a support or ops agent in plain English, preview it, and launch it without flowcharts or glue code.

Frequently asked questions about Aramb

What is Aramb?

Agent platform bundling runtime, voice, browser, sandbox, memory, tools and billing so you can ship and monetize an agentic SaaS.

How does Aramb work?

Aramb works by combining Seven Primitives, One Control Plane: Agent runtime, voice, browser, sandbox, memory, tools and billing ship as a single metered platform instead of nine separate vendor accounts., Model-Agnostic Routing: Route any request to any provider on price, latency or intent, and swap models by changing a string rather than rewriting the agent., Realtime Voice Pipelines: Sub-400ms voice behind one interface that fronts Whisper, ElevenLabs, Cartesia and Deepgram, with silent failover if a provider goes down., Durable Headless Browser: Managed Chrome sessions that survive captchas, logins and six-hour runs, with every click metered as billable work., Fenced Per-Tenant Sandboxes: Ephemeral Linux VMs for tool use, isolated per end-user and metered by the second so nothing leaks between your customers. to help users with Launching an Agentic SaaS: Ship a billable agent product in an afternoon without assembling separate vendors for models, voice, browser, memory and payments., Back-Office Automation: Run agents that triage inboxes, chase invoices, reconcile books, file expenses and close tickets on a schedule., Voice Support and Sales Lines: Stand up realtime voice agents that answer calls, qualify deals and book meetings with sub-400ms turn latency., Browser-Driven Workflows: Automate long-running logged-in web tasks such as booking flights, pulling reports or navigating portals that lack an API., White-Label Platforms: Meter every session to an end-user id and rebill tenants, using per-tenant metering and volume credits on the Fleet plan..

What are the main features of Aramb?

Key features include Seven Primitives, One Control Plane: Agent runtime, voice, browser, sandbox, memory, tools and billing ship as a single metered platform instead of nine separate vendor accounts., Model-Agnostic Routing: Route any request to any provider on price, latency or intent, and swap models by changing a string rather than rewriting the agent., Realtime Voice Pipelines: Sub-400ms voice behind one interface that fronts Whisper, ElevenLabs, Cartesia and Deepgram, with silent failover if a provider goes down., Durable Headless Browser: Managed Chrome sessions that survive captchas, logins and six-hour runs, with every click metered as billable work., Fenced Per-Tenant Sandboxes: Ephemeral Linux VMs for tool use, isolated per end-user and metered by the second so nothing leaks between your customers..

Who is Aramb for?

Aramb is useful for anyone interested in Launching an Agentic SaaS: Ship a billable agent product in an afternoon without assembling separate vendors for models, voice, browser, memory and payments., Back-Office Automation: Run agents that triage inboxes, chase invoices, reconcile books, file expenses and close tickets on a schedule., Voice Support and Sales Lines: Stand up realtime voice agents that answer calls, qualify deals and book meetings with sub-400ms turn latency., Browser-Driven Workflows: Automate long-running logged-in web tasks such as booking flights, pulling reports or navigating portals that lack an API., White-Label Platforms: Meter every session to an end-user id and rebill tenants, using per-tenant metering and volume credits on the Fleet plan..

How much does Aramb cost?

Aramb offers a free tier with paid plans for advanced features.

How do I get started with Aramb?

Visit https://aramb.ai/ to sign up and explore Aramb.

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