ENTERPRISE AI SOLUTIONS

Start with your business.
Build what comes next.

From discovery and prototyping to development, deployment and operations: expertise across the entire project.

Discuss your project
01 / DISCOVERY & DESIGN

Find the right problem.
Then choose the technology.

Examine workflows, user needs and available resources. Define the role of AI, where human review is needed, and the expected investment and outcomes. Use focused validation to inform the next step.

What we define together

01Use-case and workflow analysis

02Agent design and technical architecture

03Data and integration requirements

04Prototype scope and acceptance criteria

05Implementation plan and resource needs

02 / AGENTS & APPLICATIONS

Put knowledge and tools
to work for your business.

Build around specific tasks,
with interfaces, data and execution designed together.

Enterprise knowledge & documents

Build Domain RAG knowledge systems for search, business Q&A, summaries and information extraction.

Customer, sales & employee assistants

Connect knowledge and tools to support customer conversations and everyday work.

Analytics & decision support

Query business data, investigate changes and provide findings teams can inspect and discuss.

Multimodal content production

Create copy, images, voice, video and supporting materials around your requirements.

Workflow & multi-agent systems

Break down complex tasks, coordinate tools and agents, and add human review where needed.

Enterprise AI products

Build customer and employee applications for web, mobile, mini programs and desktop.

03 / ENGINEERING & DEPLOYMENT

Fit your environment.
Build for ongoing use.

Models & knowledge engineering

DeepSeek, Qwen and LLaMA adaptation and fine-tuning; enterprise knowledge bases, prompt engineering and evaluation.

Systems & data integration

Connect ERP, CRM, WMS, OA, IoT and APIs, synchronize business data and integrate workflows.

Multimodal workflows

Combine voice, vision and other capabilities with Dify, Flowise and n8n for orchestration and tool use.

Deployment & operations

Private deployment with vLLM and Ollama, GPU and inference optimization, Kubernetes, CI/CD and LLMOps.

04 / FORWARD DEPLOYED ENGINEERING

Alongside your team.
Close to the work.

For organizations with complex workflows, evolving requirements or limited internal AI engineering capacity, our engineers work closely with business and product teams.

From observing workflows and identifying tasks to prototyping, integration, evaluation and handover, development follows real usage and feedback.

Explore collaboration
01

Understand

Clarify goals, workflows and the people the application will serve.

02

Validate

Test key assumptions with a prototype and agree on data requirements and acceptance criteria.

03

Build & deploy

Develop the product, integrate systems and support your team through launch.

04

Improve

Use operational results and feedback to refine the application and support handover.

ONE DELIVERY TEAM

Business, product and engineering.
Together from start to finish.

Business analysis & planning

Define goals, workflows, users and resource requirements.

AI design & architecture

Plan models, data access, integrations and deployment.

Market strategy & communication

Understand needs, assess product positioning and gather feedback.

Product & engineering

Develop applications, agents and automation, then test and deliver.

LET’S BUILD SOMETHING USEFUL

Your next AI application
starts with your business.

Discuss an idea, explore a product or plan a new solution.
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Product demos / Solutions / Partnerships
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