Eight products that adapt to how you already work, centralized in one super agent

Conversations arrive through four different channels, each with its own inbox and its own way of being forgotten. First response time is not measured because nobody agrees where the clock starts, and the customer who wrote on WhatsApp on Friday turns up again by email on Monday as if they were someone new.

Every conversation lands in one queue, where the agent classifies by intent and urgency, answers what it can resolve from the knowledge base, and escalates to a person with the context already summarised. Escalation is designed explicitly, because an agent with no human path is more fragile, not more autonomous, and every answer cites the document it came from so the claim can be reviewed.

The report lands on Monday, the drop happened last Wednesday, and by the time anyone asks why cost per lead went up, three weeks of budget have gone into the wrong campaign. The answer exists somewhere, but it is spread across four sources nobody cross-referenced in time.

It pulls your marketing and sales sources into one consolidated view, spots variation against the previous period and against your target, and answers questions like "why did my CPL go up?" by naming the campaign, the amount and the evidence behind it. If a source fails, it says so instead of filling the gap with an estimate, and every figure stays traceable to its source and period, so the explanation can be checked rather than taken on faith.

Quoting by hand has a cost that never shows up in a report: the prospect waits while somebody types in measurements, works out volumetric weight in a spreadsheet, logs into the carrier portal and comes back with a number that has to be re-checked. Quotes get lost in that gap, and the margin depends on nobody fumbling a multiplication.

The agent takes origin, destination, pieces, dimensions and weight out of whatever the customer wrote on WhatsApp, email or the phone, and asks only for the field that is still missing. Volumetric weight is computed by a deterministic function and rates are queried live against each carrier: they are never invented or estimated. Margin and surcharges are applied separately, outside the model, and the base rate, the commercial adjustment and the final price are logged separately, so anyone can reconstruct how that number was reached.

Analysis in most companies lives inside one person, the one who knows how to build pivot tables. When that person is busy, decisions get made against whatever version of the file someone happens to remember, and questions that should take minutes wait days in an inbox.

A smart dashboard with AI and private data: it turns your data into something you can act on. Ask your indicators the way you would type a WhatsApp message, and the product profiles the columns, works out what each field means and builds charts and analysis on the spot. The model proposes and the data answers, never the other way round, while your information stays stored locally and no sensitive data is shared with third parties.

The CRM falls out of date because keeping it current is manual work nobody wants: follow-ups get dropped, first-contact messages are copied and pasted over and over, and nobody knows what happened to a deal until the customer stops replying.

Grow your pipeline with a CRM driven by artificial intelligence that prepares emails, personalises first-contact messages and reminds you when a prospect is due for a follow-up. Spot opportunities and risk early with smart indicators that surface low-engagement contacts, accounts at risk of churning and repeat-purchase trends, so your team acts at the right moment. Every draft arrives with the full deal context and is left ready for review: approving the tone and the content is still your team's call.

Once three agents are running in production, nobody knows which one failed, what last week cost, or who is responsible when something breaks. Governance shows up right after the first incident.

Neuro Ops turns every agent into a task with an owner, a status, a cost and a log. Every run is recorded with its input, its output, its latency and its errors, so reviewing what happened does not depend on asking an engineer for the logs. Alerts fire when quality or cost drifts out of range, and the trail is ready for a compliance review.

The CEO's day is built from whatever someone managed to forward. Open items are scattered across WhatsApp, email and the notebook from the last meeting, agreements get lost between one meeting and the next, and the weekly review is spent rebuilding what was said instead of deciding what comes next.

During the week you work with Neuro Chief on WhatsApp, like with anyone on your team: you ask for the day's brief, you send a voice note after a meeting and it turns it into items with an owner and a date, or you ask it to chase someone and it drafts the message before sending it. In the progress review you open the board and go through it together, project by project: what got done, what is stuck and which decisions are yours, with every data point linked to its source, whether the message, the email, the meeting transcript or the report it came from. When you close the review it prepares the minutes and each person's commitments, and with your approval sends them on WhatsApp. It is built on Hermes Agent, the open source agent from Nous Research, which gives it persistent memory and scheduled tasks, and it runs on infrastructure you control.

Supermarkets, restaurants and shopping malls already have cameras, but nobody looks at them until something goes wrong. Meanwhile nobody knows how many people walked in and how many bought, how long the checkout line took, which table has been seated twenty minutes without a ticket or which wing of the mall almost nobody walks. The information is in the video; what is missing is someone with time to watch it.

Neuro Vision processes the feed from your existing security cameras on site and turns it into metadata: people counts, dwell time by zone, queues, occupied tables and shelf status, each data point stamped with its time and its source camera. Video never leaves the premises and no faces are stored; only structured text travels to the cloud. That metadata is joined with your point of sale and queried in plain language, with the evidence behind every figure on screen. In supermarkets it measures footfall, conversion, queues and empty shelves; in restaurant chains, table occupancy and turns, tables without a ticket and unbilled consumption; in shopping malls, footfall by entrance, flow by wing, food court and parking occupancy.