Narus AI
Kolekti (The Adaptavist Group) · Other · Chatbot
Narus AI is Kolekti's secure generative AI platform that gives teams one chat portal for several large language models, plus monitoring and budget controls.
About Narus AI
What Is Narus AI
Narus AI is a secure generative AI platform built by Kolekti, part of The Adaptavist Group. It gives a company one controlled place to use AI, instead of staff signing up for tools on their own. Employees open a single chat portal, pick a model, and get answers without touching company data rules. In short, it's a generative AI management platform, not another chatbot.
The problem it targets is shadow AI. People were already using chatbots at work, often without telling anyone. Narus AI answers that by putting the same convenience behind an admin dashboard. IT keeps oversight of what runs, who can use which model, and what the whole thing costs.
The pay model is one reason it stands out. Where many enterprise AI platforms demand high seat minimums and a flat fee, Narus AI uses pay-as-you-go billing, which suits smaller teams in professional services, HR, marketing, media, and IT. It launched in October 2024, and narus.ai now redirects to the Kolekti site, so new buyers should confirm current terms with the vendor.
The main limits sit around scope and audience. This is a business governance tool, not a creative suite. It connects to models from providers like OpenAI, Anthropic, Google, and Meta AI through APIs, and it depends on those providers staying available. Individuals get nothing here that a free chatbot account doesn't already offer.
Getting Started
- Talk to Kolekti about a Narus AI account, since pricing is quoted per organization rather than posted on a public page.
- Connect the model providers you want through API keys, then decide which models each team can reach.
- Set role-based access and spending limits, so a department only draws on the models and budget you allow.
- Invite staff to the shared chat portal, where they ask questions, compare outputs, and refine prompts with the optimisation tools.
- Review the admin dashboard for usage and spend, and adjust alerts and limits as patterns show up.
Product Information
A quick look at Narus AI's pricing, supported platforms, and performance.
Best for
The users, tasks, and scenarios where this tool fits best.
Users
- IT and security admins who need a record of company AI use
- Marketing and content teams that want fast drafts without leaking data
- Midmarket companies that balk at seat-heavy enterprise suites
Tasks
- Rolling out AI access across a department
- Comparing model outputs
- Tracking AI spend
- Keeping prompts that work
Scenarios
- A company handling regulated client data
- A busy campaign week
- Onboarding a new hire
Key features
One portal for multiple language models
The core of Narus AI is a multi-model chat interface that reaches several large language models at once. Staff from OpenAI, Anthropic, Google, Meta AI, and Mistral sit behind the same log-in, so nobody juggles five browser tabs. Picking the right model for a task turns into a click rather than a subscription decision.
Prompt optimisation and a shared library
Narus AI ships prompt tools that help a user sharpen an input before it goes out, which tends to lift the quality of the answer. A shared prompt library sits beside it. When someone lands on a prompt that works, they save it, and the rest of the team can pull it up later. Reusing good prompts beats rewriting them every week.
Real-time monitoring and safeguarding
Admins watch AI use as it happens. The platform flags sensitive inputs, keeps audit logs, and sends alerts when something looks off. For a team under data rules, that oversight is the reason to bring AI into a managed tool at all. It turns an invisible habit into something the business can see and answer for.
Role-based access and model assignment
Not every employee needs every model. Narus AI lets an admin decide which models a person or a team can reach. A finance group might get one set, an engineering group another. That keeps access tight, and it keeps high-cost models away from users who don't need them.
Budget and usage management
The budget management side is built into the admin console. The dashboard tracks what each user and team spends, and admins set limits so a single heavy user can't blow the month's budget. Detailed reports make the AI bill a line the finance team can read, not a mystery invoice at quarter end.
Governance for enterprise AI adoption
Narus AI leans on its governance story. Alerting, audit trails, and access control line up with rules like GDPR, and the vendor frames the product as a way to remove the security barrier that stalls enterprise AI rollouts. Kolekti says it built the platform so workers get AI while the organisation keeps oversight.
Pros and cons
Pros
- One log-in, many models: staff reach OpenAI, Anthropic, Google, Meta AI, and Mistral from a single portal.
- Governance built in: audit logs, safeguarding alerts, and role-based access come as standard, not as add-ons.
- Cost visibility: a dashboard tracks spend per user and team, with limits that stop budget overruns.
- Pay-as-you-go billing: no large flat fee or seat minimum, which suits smaller teams.
- Prompt reuse: a shared library lets one good prompt serve the whole company.
Cons
- No public price list: pricing is quoted per organization, so a buyer can't self-check costs before a sales call.
- Business-focused: the tools aim at company governance, so an individual gains little over a free chatbot.
- Depends on model providers: the value rests on third-party APIs, and a provider change or outage flows straight through.
- Setup needs some IT work: connecting APIs, roles, and limits takes configuration before the platform runs itself.
Frequently asked questions
Narus AI gives a company one secure portal for several large language models. Staff chat with models like OpenAI, Anthropic, Google, and Meta AI from a single place, while admins track usage, set budgets, and keep an eye on sensitive inputs.
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