Intelsense AI

.Live.

AIHubspot

Every frontier model, a library of expert agents and the creative studios on one platform, billed in taka on one plan.

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95%

less than buying the tools one at a time

.The problem.

Using AI from here costs more and gives you less

A working AI stack, bought the way it is sold, runs past BDT 13,000 a month. Before the price even becomes the argument, the checkout asks for a foreign card, which is where a lot of people in Bangladesh stop.

What the money buys is one model. You are paying for a single opinion, and you never find out what a different model would have said about the same question. The features that make any of it useful for real work, long context, handling files, speed, sit behind the top tier.

Bangla, meanwhile, is somebody else's long tail. Local context, local documents and local workflows are the part global platforms get to last, if they get to it.

The checkout asks for a foreign card, which is where a lot of people here stop.

.The hidden cost.

Five tools, five bills

Chat is one subscription. Images are another. Video, audio and slides are three more. That is five logins, five invoices and five interfaces to learn, for work that is all the same kind of work.

Price is what makes somebody switch. Having all of it behind one login is what stops them drifting back.

The platform

One platform. Every kind of AI work.

  • Multi model chatLive
  • Expert agent libraryLive
  • Developer APILive
  • Image studioNext
  • Video studioNext
  • Audio studioNext
Bought wholesale, sold as one planNine plus providers and Our Bangla models both feed into Routing layer, which produces One login and One bill.Nine plus providerswholesale token ratesOur Bangla modelsEkush, SenseSpeechRouting layerchoice, failover, meteringOne loginchat, agents, studiosOne billin taka
Capacity is bought wholesale across the providers and sold as one flat plan in taka. The routing layer in the middle is what makes that arithmetic work.

.The approach.

Ask every model at once and keep the answer that holds up

One prompt goes to all of them at the same time. GPT usually comes back with the strongest structure, Claude with the best Bangla phrasing, Gemini fastest, Llama cheapest. You read the answers side by side and keep whichever one survives contact with the actual task. No other product sold here does that.

You can also name a model and stay on it, or hand the choice to the router, which reads the task and sends it to whatever fits. That is the same mechanism that makes a flat plan survive: the expensive models get held back for the work that genuinely needs them.

What the router does with a taskA sequence of 4 stages: Task arrives, then Router reads it, then Model picked, then Answer checked.Task arriveschat, agent or API01Router reads itdifficulty, language02Model pickedor the one you named03Answer checkedbefore it reaches you04
The router is why an easy task does not cost what a hard one costs. It is also why the answer you get back has been checked before you see it.

Signature feature

Live

One prompt goes to every model at once

Your prompt
Write a supplier contract clause in Bangla
  • GPT

    Strongest structure

  • Claudepicked

    Best Bangla phrasing

  • Gemini

    Fastest answer

  • Llama

    Lowest cost

Comparison is the product. Ask once, read every answer side by side, and keep the one that actually holds up.

How does the bill not surprise me?

People get a daily allowance that resets each morning, with a monthly pool behind it to absorb the heavy days. Developers get a prepaid wallet instead: flat token rates across every model, and live spend down to the individual call. Starter is BDT 700 a month against roughly BDT 13,600 for the same set of tools bought one at a time.

.Beyond chat.

Agents that arrive already briefed

There are more than a hundred expert agents, each one set up for its job before you get to it, so there is no prompting technique to learn first. A research analyst, a study tutor, business and legal, health guidance, a science research assistant.

The layer being built on top of those finishes the work rather than discussing it: a presentation builder, CV and interview prep, proposal and contract drafting, Bangla grammar checking. Somebody with a deadline needs a finished deck or a proposal ready to send, not a model to talk to about one.

Expert agents

Live

An expert for whatever you are working on

  • Research analyst

    Deep reading and sourced briefs.

  • Health guidance

    Plain answers to everyday questions.

  • Personal coach

    Training, habits and motivation.

  • Science research

    Method, literature and study design.

  • Business and legal

    Proposals, contracts, market notes.

  • Study tutor

    Hard topics explained in Bangla.

100 plus agents and growing. Each one arrives already briefed, so there is no prompting to learn.

.For developers.

One endpoint, every provider

The API speaks the OpenAI protocol, so pointing existing code at it is a change of base URL and nothing else. One key reaches every provider, traffic reroutes on its own when one of them goes down, and all of it arrives as a single monthly invoice. Routing runs at the edge, which keeps latency sensible for anyone building in Asia.

Second engine

Live

One endpoint. Zero friction.

Automatic failover

Traffic reroutes when a provider drops.

One monthly invoice

Every provider on a single bill.

Edge routing

Lower latency for developers in Asia.

const client = new OpenAI({
  baseURL: "aihubspot.app/v1"
});

// one key, every provider
model: "gpt-4o"
fallback: "claude"

For companies, the product is control

Your team is already using AI that nobody approved. The enterprise plan puts a floor and a window under that: one negotiated rate for the whole company, a console showing every use, permissions, and spend tracked per team. For a bank the deciding detail is usually the last one, that the Bangla models can run on premise inside your own building, which no global aggregator will do here.

AI for the next 170 million.

One hub for every kind of AI work, built in Dhaka, from BDT 700 a month.

Try it freeBook a demo

.Go deeper.

The full deck

Everything above, with the detail an evaluation actually needs.