Services/Custom AI Agents

Agents that do exactly what you need. Safely

A Nexera agent isn't a chatbot. It's a purpose-built system with explicit permissions, custom integrations, and evals from day one — running on our proprietary Floki Framework, isolated on infrastructure we own, and grounded in your business through a private RAG layer. Built to act, not to hallucinate.

What we build

Deliberate
by design.

Four disciplines every agent we ship goes through — the difference between a demo that impresses and a system that runs in production without creating a catastrophe at 2am.

  • Agent design & tool use

    Task decomposition, tool interfaces, memory, and control flow — the parts most 'agent frameworks' handwave away. Every action an agent can take is a designed decision, not an emergent behavior we hope goes well.

  • True custom integrations

    We don't ship agents wired up to promiscuous MCP servers. Every integration is purpose-built with narrow scopes, allow-listed actions, content-safety filters, and explicit rules about what the agent may and may not do — mitigating rogue actions before they can happen.

  • Evals from day one

    Ground-truth datasets, regression suites, and human review baked into the build — so quality is measurable, not vibes. If the agent drifts, we see it before your users do.

  • Model-agnostic by design

    Swap OpenAI, Anthropic, Google, or an open-weights model without reworking or retraining the agent. Your leverage — over pricing, capability, and vendor risk — not the provider's.

Our proprietary framework

The Floki
Framework.

Built entirely in-house — because the framework you build on decides what your agent can and can't do safely.

Floki is our own agent runtime. We wrote it because the open-source options optimize for viral demos, not the kind of controlled production behavior real businesses need. Every decision — how tools are registered, how memory is scoped, how outputs are validated, how failures are caught — is made with AI safety, privacy, and security as first-class constraints, not afterthoughts.

  • 01

    AI Safety

    Explicit action rules, content-safety filters, and hard limits on what an agent can take autonomously.

  • 02

    Privacy

    Your data stays in your tenant. No third-party agent vendors, no shared training pools, no surprises.

  • 03

    Security

    Least-privilege tool access, auditable action logs, and secrets handling designed for regulated environments.

  • 04

    Teachable

    Operators shape behavior through conversation and guided onboarding — no redeploy, no custom code. Rules like 'always confirm before writes' or 'use this tone with clients' are learned by the framework, while extensions only supply new capabilities.

  • 05

    Fully Custom

    Every Floki agent uses the same framework, but the integrations and behavior are built around your business. No borrowed templates, no bloat, no wasted resources.

  • 06

    Channel Independent

    Use our app to talk to Floki, or drop him into Slack, Microsoft Teams, or Google Chat. He works where your team already works.

Why our agents are different

Four things
most vendors skip.

The industry defaults are shared infra, generic prompts, and a hope that guardrails will emerge. We took the opposite bet.

  • 01

    Purpose built

    Every engagement starts with a comprehensive discovery process — mapping the workflow, the users, and the failure modes. Your agent gets built for a specific outcome, not retrofitted from a template.

  • 02

    Data privacy

    Deployed on infrastructure we own and operate — not turn-key agent products from third-party vendors sitting between you and your data. Trust and safety are part of our foundation: our founder has helped build and served on two Trust & Safety committees, so privacy, harm reduction, and responsible operation are built in from the start.

  • 03

    Isolated performance

    Your agents run in their own environment. No noisy neighbors, no shared pools, no other tenants competing for the compute you're paying for.

  • 04

    Aligned to your business

    A proprietary RAG layer keeps every response grounded in your docs, tone, policies, and product truth — not whatever the base model absorbed from the open internet.

Proprietary RAG

Aligned with your business — not the open internet.

A base model knows a lot about the world and almost nothing about you. Our proprietary RAG system closes that gap — ingesting your documents, product data, playbooks, and policies, respecting the same permissions your team already lives under, and grounding every agent response in truth you can point to.

The result is an agent that sounds like you, works like you, and won't confidently invent a refund policy that doesn't exist. (Yes, that's happened with other AI vendors.)

How we can work together

Three shapes.
Pick the one that fits.

Every agent engagement lives on one of three tracks. Same senior team, same framework, same standards — different scope and cadence depending on where you are.

012–4 weeks

Single Agent

One agent. High leverage. Fast.

A focused build of a single, well-scoped agent — designed, integrated, evaluated, and handed off. Best for teams with a clear workflow they want automated now.

Fit

  • You have specific workflows in mind
  • You need a functional agent teammate, not a chatbot
  • You want a clear cost and a clear finish line
  • You're a solopreneur looking for a partner without the salary + equity commitment
024–16 weeks

Agent Fleet

A system of agents, built together.

A multi-agent buildout — shared framework, shared evals, shared integrations. We plan the sequence, ship the pieces, and land the whole thing in production. Best for teams replatforming a function around AI.

Fit

  • You need help across your entire team
  • You need agents that can coordinate with each other
  • You want to increase productivity across multiple teams in your org
03Ongoing

Agent Ops

We run and improve what you've deployed.

You require multiple interoperable agents across multiple business units at an aggressive level. We take on observability, evals, cost tuning, and continuous improvement — so the system gets better every month instead of quietly rotting.

Fit

  • You need complex agents working together at high rates
  • You've seen AI costs exceed budget and increase month-over-month
  • You want senior operators, not a rotating support desk

What clients say

In their
words.

  • They didn't hand us a demo. They handed us an agent that's been running our ops queue for six months without a single rogue action.

    Placeholder Name · Head of Operations, Placeholder Co.

  • The Floki Framework let us swap models mid-project without rewriting a single tool. That optionality alone paid for the engagement.

    Placeholder Name · CTO, Placeholder Inc.

Floki agents aren't one-off chatbots — they're production-grade agents trained to work exactly the way you need them to.

Start something

Have a problem
worth solving?

A 30-minute call is usually enough to tell whether we're the right team for it — and if we're not, we'll say so.