Define the problem
- ・We learn about your business challenges and pin down what AI should solve and what it can deliver
AI solution services that maximize the value of your data
A hands-on AI system development service, working together with you toward AI adoption that delivers real results.
What Nextremer can do
Generative AI
- Text generation
- Image generation
- Video generation
- Audio generation
- Multimodal generation
- Retrieval-augmented generation (RAG)
Image Recognition
- Object detection
- Image classification
- Distance estimation
- Appearance inspection
- Anomaly detection
- Region detection
- Similar image search
- Pose detection
- Video analysis
Natural Language Processing & Dialogue Systems
- Character extraction
- Inquiry content analysis
- Paper analysis
- Document classification
- Chatbot development
- Internal document analysis
Numerical Analysis
- Demand forecasting
- Environmental control
- Material property prediction
- System failure prediction
- Optimal production planning
Other
- Paper implementation
- Machine learning model development
Why Nextremer
AI development that doesn't stop at PoC
Technological advances have made it easier than ever to consider adopting AI, yet few proof-of-concept projects actually make it to full deployment. As AI vendors, our responsibility is to keep the customer's ultimate goals in mind and think through the entire system design, weighing what AI can do, the accuracy required, and the risks involved.
A dedicated team ensures quality
AI development requires high-quality training data in sufficient volume, along with rigorous quality management throughout the data creation process. Our small, highly skilled annotation team consults closely with customers to produce high-quality training data and enforces thorough quality management to guarantee the accuracy of your AI systems.
A partner who walks alongside you
We go beyond researching the market and prior use cases to make the best proposal, supporting you from problem identification through PoC, implementation, and ongoing operation and maintenance. At every phase of AI adoption, our data science and engineering specialists remain by your side as your partner.
Clients
PROCESS
How we deliver AI
STEP01
STEP02
Start small
- ・We test on a limited scope so you can confirm the return before committing to full rollout
STEP03
Put it to work
- ・We build on the results and fit AI into your day-to-day operations and systems
STEP04
Run and improve
- ・We keep measuring results and improving after launch, with the same team supporting you
Not sure where to start with AI? Talk to us
Even if your challenge is not yet clearly defined, we will propose how to proceed.
CASE STUDIES
Case study
Tourism
Conversational AI for multilingual tourist information cut handling workload by 22.4%
At two tourist information centers in Shibuya, we introduced our conversational AI service "AI Minarai" to streamline guidance for international visitors and standardize service quality. It supports five languages and handles routine questions. Using a dialogue simulator in which multiple agents collaborate, we ran thousands of test conversations and raised the answer accuracy rate from 76.0% to 94.5%. The project received the Special Award for Sustainable Implementation at GENIAC-PRIZE, organized by METI and NEDO.
- Handling workload
- 22.4% reduction
- Answer accuracy
- 76.0% → 94.5%
FAQ
Can we consult you before our challenge is clearly defined?
Yes. We start by interviewing your team about the work and its challenges, then work with you to identify the problem AI should solve, research prior cases, and plan the PoC.
How should we choose an AI development partner?
Check three things: whether they can propose an overall design aimed at full deployment rather than stopping at PoC, whether they can create and quality-control training data in-house, and whether the same team stays with you through operation and maintenance. Nextremer has a dedicated annotation team and supports you end to end, from training data creation to operation.
How long does it take from PoC to full deployment?
It varies widely with the target task, the availability and volume of data, and the accuracy required, so we do not quote a fixed period. We first agree on the purpose, scope, and success criteria of the PoC, then estimate the timeline for each phase accordingly.
How is the cost determined?
It depends on the development scope, the amount of data to collect and create, the accuracy required, and whether operation is included. Because we validate effectiveness in a PoC before full development, we estimate each phase separately. You do not need to commit to a large investment up front.
What are common pitfalls in AI adoption?
Four are typical: insufficient quality or quantity of training data, validating with data that differs from the real environment, adopting an overly complex model from the start, and a gap between expectations and results. We prevent them by emphasizing data creation and quality control and by agreeing on success criteria in advance.
Can we ask you even if we do not have training data?
Yes. We handle everything from collecting and selecting data to creating training data through annotation. We also accept requests for data annotation only.
Let's talk about how AI can work for you
Other services
Data Annotation
Nextremer's expertise extends far beyond data annotation into the broader AI and machine learning field, which is why numerous major companies choose us as their co-creation partner.
Learn more