Most AI firms pitch decks.
neosphere designs, builds, and deploys production AI systems on your data. Working software in 4–6 weeks, at a fixed price, with full ownership of the code.
neosphere works in that gap. We take a defined business problem from scoping to a deployed, measured system, and hand it over to your team to run.
Senior AI engineers take months to hire, and a single hire still needs a team around them before anything reaches users.
A prototype can answer questions in an afternoon. Production needs your real data, permissions, evaluation, monitoring, and integration with existing systems.
Platform subscriptions and proprietary tooling leave you paying indefinitely for systems you don't own and can't change.
Systems designed and delivered by neosphere engineers.
Document intelligence
$430k
annual cost of manual document review removed
Enterprise compliance
Conversational AI
64%
of support tickets resolved with no human agent
Retail
Natural-language analytics
2 days to seconds
to answer a question that previously waited on an analyst
International development
Every engagement is led and delivered by senior engineers who have shipped production AI at
Microsoft
Siemens
UNDP
YaleProof of concept
A scoped build against one business problem, on your real data, at a fixed price. It ends with a working system in users' hands, measured results, and a costed plan for production.
From proof of concept or existing specification to a deployed, monitored system. Product design, engineering, and delivery under a single team and a single contract.
Senior AI engineering capacity for agencies and consultancies, delivered under your brand. You retain the client relationship.
Step 1
A 30-minute working session on your use case, your data, and the result that would justify the investment.
Step 2
A written plan with milestones, timeline, success metrics, and a fixed price, agreed before work begins.
Step 3
Working software reviewed with your team at every milestone, so decisions are made on the system itself.
Step 4
Code, infrastructure, and documentation transfer to your team, with a technical walkthrough for the engineers who will run it.
Running in your environment, in use, and measured against the success metrics agreed in the proposal.
In your repository, under your accounts, from the first commit.
Deployed to your cloud, with no seat licenses or platform fees.
Architecture, runbooks, and a walkthrough so your engineers can maintain and extend the system independently.
Product companies and operating teams that need AI running in production and don't have the in-house engineering capacity to build it. We also deliver for agencies and consultancies under their brand.
4 to 6 weeks on your real data. It ends with a working system in users' hands, results measured against agreed metrics, and a costed plan for production.
Every engagement is fixed price, set in the proposal before work begins. Pricing depends on scope, data, and integration requirements.
You do. Source code, infrastructure, and documentation live in your accounts from the first commit. There are no seat licenses and no dependency on us to keep it running.
No. We build inside your existing product, data, and cloud, and connect to the tools your team already uses.
Senior engineers with experience shipping production AI at Microsoft, Siemens, UNDP, and Yale lead and deliver every engagement.
Yes. We provide senior AI engineering capacity to agencies and consultancies, delivered under their brand, with the client relationship staying with them.
Book a 30-minute discovery call. We'll review your use case and data and follow up with a written proposal covering scope, success metrics, timeline, and price.
Choose a time below, or write to us at hello@neosphere.io.
What happens next
