The infrastructure Behind Production AI

Four products that work standalone or together: structured web data, multi-channel AI agents, autonomous task agents, and a router that tells you what your models actually cost.

  • Web Data

    Ask a business question. Get a spreadsheet.

    Describe what you're trying to find and we work out the sources, the fields, and the extraction — delivered on a schedule, in the format your systems already read. adding words for spacing symmetry adding words for spacing symmetry adding words

    Explore Web Data

  • AI Agent Platform

    AI agents that don't just answer - they act.

    Web chat, SMS, voice, WhatsApp, Treams, Slack, email, and social DMs. Agents call your APIs, book calendar time, and escalate to staff with full context. Drops into your existing contact center, including NICE CXone via BYOC.

    Explore the Agent Platform

  • Autonomous Agents

    For the work that has no API.

    Multi-step tasks handed off to an agent that runs them start to finish — using only the tools you allow, leaving a reviewable record of every step, with a person always one step away. fillerwords

    Explore Autonomous Agents

  • LLM Router

    Know what your AI actually cost.

    Route across every major provider, with accounting on every billed round-trip — including the retries and rejections most tools never show you, and without losing any of it when you stream.

    Explore the LLM Router

Four products, one platform.

They stand alone. They're better together.

Web Data feeds what your agents know. The same extraction engine that builds your datasets can ingest your website and source material into an agent's knowledge base.

The Router meters what they cost. Every model call an agent makes — including the retries and rejections you'd otherwise never see — is routed, accounted for, and billed against one allowance.

Autonomous Agents pick up where conversations end. When a request needs work done rather than answered, it hands off without leaving the conversation.

One agreement covers whichever combination you run.

One agreement, four parts

Every Nuestra AI agreement is built the same way: the platform you're running, the features you switch on, your included usage, and the support wrapped around it. No plans to pick, no seats to count — we size it to your business and bill overages only when you exceed what's included.

In production today

Our Agent Platform runs as a BYOC middleware layer inside NICE CXone for a Texas retail energy provider, handling SMS, web, and social interactions with routing to live agents by skill and language.

Product connection diagram Web Data crawls sources and builds an indexed knowledge store that the agent retrieves from. The Router receives all inbound requests, screens automated traffic, and meters and directs calls to the agent runtime. Web Data Site pages public content Documents uploads Extract clean · split Agent knowledge indexed for retrieval source-attributed re-crawled on change indexes Router Visitors widget traffic Bots Screen & direct meters calls turned away Agent runtime answers the question decides escalation admitted retrieves Channels chat · voice · text email · social Follow-ups journeys · notifications Human agents escalations · contacts answers worth keeping return as knowledge

Unresolved Issues Cost You Business

What's lost when customers feel confused?

  • Declining satisfaction rates

  • Missed business opportunities

  • Loss of competitive edge

  • Poor customer retention

  • Increased operational costs

Achieve Seamless AI Integration

AI Agent Platform

Enjoy efficient customer interactions without confusion.

  • Typically resolves 70-85% of inquiries automatically across consumer support deployments.

  • Multi-Platform Customized Integration

  • Boosted customer satisfaction and loyalty

Not sure which product fits?

At Nuestra AI, most engagements start with a 30-minute scoping call. We'll map your use case to one or more of our products, identify the integrations that matter, and send a proposal with fixed pricing within 7 business days.

FAQ's

How does pricing work?

You buy a bundle sized to your business, priced on three dimensions: the feature set you enable, the number of domains you cover, and your monthly token allowance. We bill overages only when you exceed the bundle, and every overage is itemized. See our pricing page for full detail.

How many AI Agents can I have?

Our team will assess your business processes, goals, and challenges to determine how many you need for your solution. We'll recommend strategies that align with your objectives, making sure you're set up for success and growth.

What results can I expect from Nuestra AI solutions?

With the right Nuestra AI tools, you can expect increased operational efficiency, cost savings, and improved customer satisfaction. We focus on delivering measurable results that align with your business goals, such as higher customer satisfaction rates and improved productivity.

Will I receive ongoing support after implementing the solutions?

Yes! We, with a signed contract, provide continuous support and optimization after implementation to ensure your generative AI tools are functioning effectively and providing the results you need. Our team is here to help you adapt and grow as your business evolves.

How long does it take to see results with Nuestra AI solutions?

The time to see results can vary based on the complexity of your needs and the AI tools implemented. However, many businesses begin to experience noticeable improvements in efficiency and performance within a few weeks to a couple of months after integration.

With the AI Agent Platform, where do lead notifications go?

That depends on your business needs. Because we meet with you to find out what integrations are important to you, we can customize the destination of the lead notifications. Do you want to integrate with your CRM? We can do that.

FAQ image

What happens if we exceed our included usage?

You'll get an alert as you approach the limit, and overages are trued up quarterly rather than billed the instant you cross a line. Every overage is itemized by product, model, and outcome.

Can we self-host?

Yes, under an enterprise agreement. Hosted deployment is the default.

What's your uptime commitment?

It depends on your support tier: 99% on Priority and 99.9% on Enterprise, with service credits on Enterprise. Both are measured outside scheduled maintenance windows, which are set out in your service agreement. Standard carries a target rather than a commitment. See the pricing page for the full comparison.

Where does our data live, and who can access it?

Your data resides in US datacenters. Which cloud — Microsoft Azure, Amazon Web Services, or Google Cloud — is selected as part of your contract.

Within your account, access is yours to control: role-based permissions, per-user assignment at the agent level, and API keys scoped by resource with separate read and write rights. Every write is recorded in an audit trail at both account and agent level.

Our own staff access your data only to resolve a support issue or investigate an incident, only with your permission, and only for the duration of that ticket. If you'd rather not approve each request individually, standing defaults can be set up for your account.

Which model providers does the LLM Router support?

OpenAI, Anthropic, Google, Groq, Mistral, Cohere, DeepSeek, Bedrock, Azure OpenAI, and OpenRouter, plus local deployments through Ollama, vLLM, and LM Studio.

What happens when the AI can't answer a customer?

The conversation escalates to a person — routed by intent, skill, and language — carrying the full transcript, the customer record, and anything the agent already collected. Your team picks up mid-conversation instead of starting over.

Is web data collection legally reviewed?

Collection runs against the sources and identifiers you provide and covers publicly accessible data only. We honor robots directives and document the source and collection method for every field we deliver, so your legal team can review provenance before you build a process on top of it.

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