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AI Engineering Studio

Most AI firms pitch decks.We ship products.

neosphere is a boutique AI engineering firm. We partner with mid-market and enterprise companies to design, build, and deploy AI.

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AI that works in the real world,
not the demo.

The gap between an AI demo and a system your team actually depends on is enormous. Most firms bridge it with promises. We bridge it with deep engineering and product experience, the kind built over years at companies and institutions that don't tolerate failure.

We're a small team by design. Every engagement gets senior attention, fast iteration, and honest feedback. We'll tell you when AI is the right solution, and when it isn't.

What we build

01

AI Integration

Connect AI to your existing data, tools, and workflows. We build the layer that makes your systems intelligent, without forcing you to replace what works.

RAG · Agents · APIs

02

End-to-End AI Products

From strategy through deployed product. We own the full build: product design, engineering, and delivery, so you're not coordinating five vendors.

Product · Engineering · Delivery

03

AI POC in 4–6 Weeks

Not sure what's possible? We run a scoped proof of concept on your real data and deliver a working prototype in 4–6 weeks. See results before committing to a full build.

Low-risk · Fast · Validated

How we work

  1. 01

    Discovery call

    30 minutes. We map your use case, your data, and what success actually looks like for your team.

  2. 02

    Scoped proposal

    A clear plan with milestones, timeline, and fixed pricing. No ongoing seat licenses or SaaS lock-in.

  3. 03

    Build & iterate

    We ship fast and show you working software early. You stay in the loop, not waiting on quarterly updates.

  4. 04

    You own it

    Everything we build is yours. Source code, infrastructure, documentation. No dependency on us to keep it running.

The team

Built by engineers who've done it before. We've shipped AI from inside enterprise institutions and built products from zero to production across multiple industries. We bring the rigor of those institutions and the velocity of early-stage startups, because we've lived in both.

  • Microsoft
  • Siemens
  • UNDP
  • Yale

Past work

Enterprise

$430k

Annual cost of manual document review removed

Replaced manual document review with agents that classify, route, and approve autonomously.

Agents extract clauses and compliance signals from PDFs, policies, and contracts. Multi-agent orchestration handles classification, review, and approval with role-based access and a control tower for audit visibility.

Agentic AI · React · AWS · Multi-Agent Orchestration

Retail

64%

Of support tickets resolved with no agent

Automated frontline support so customers get answers without waiting in a queue.

An AI support layer that resolves routine tickets end-to-end, escalates the rest with full context, and keeps agents focused on the cases that need a human.

Agentic AI · Customer Support · Workflow Automation

Data teams

Seconds

To answer a question that waited two days

Built a product that lets anyone talk to their data without knowing SQL.

A standalone analytics workspace. Connect your data, ask questions in plain English, get charts and dashboards back instantly—saved and shared across the team.

Agentic AI · Claude · GPT Agents · Python · Postgres · Next.js

You know AI should be doing more for your business.

30 minutes with us and you'll know exactly what to build, what it costs, and whether we're the right team to build it.

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