TokenWave AI Pte. Ltd.
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AI Engineering Practices Built Around Your Sector

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Our Practices

Six Practices, One Standard of Delivery

Pick one practice or combine several. Every engagement is judged the same way: real work completed, risks controlled and a system your team can confidently own.

See Every Practice

Sector-Tuned Language Models

Models that read your documents the way your experts do.

Bespoke AI Agent Engineering

Agents that take a goal and see it through to done.

AI-Native Product Upgrades

New intelligence for software you already run.

Agent Team Orchestration

Specialist agents passing work along until it is finished.

Enterprise Knowledge Copilots

Sourced answers from your approved documents only.

Model Tuning & LLMOps

Train, ship and monitor models inside your walls.

Why Teams
Pick TokenWave AI

We fit the AI to your organisation, not the other way round - your processes, your records, your regulators and the systems you have already paid for.

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Engineers Who
Know Your Sector
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Accountable
& Private AI
choose
Works With the
Stack You Have
choose
Support That
Stays After Launch
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How We Work

How We Deliver

Five visible stages, each ending with something you can see, test and sign off.

01
Discover

We pin down the goal, the users, the data and the numbers that will define success, then pick the use case with the best return.

02
Design

We settle the architecture, model choice, integrations, safety limits and the test set the system must pass.

03
Build

We build in two-week cycles and demo working software at the end of each one.

04
Deploy

We release into your cloud tenancy or on-premise environment with dashboards and alerts already running.

05
Improve

We compare results against the baseline, tune prompts and models, and line up the next use case.

Ways to Engage

Choose How We Work Together

Pilot

Test an idea against your own data with a working prototype and a frank assessment of feasibility, cost and payback.

  • Opportunity-mapping workshop
  • Working pilot
  • Plan for going live
Build

A hardened, production-grade system connected to your applications, records and workflows, with documentation your team can maintain.

  • Full design and build
  • Evaluation suites and safety limits
  • Launch and handover
Scale

Ongoing monitoring, tuning and engineering support as usage and requirements expand.

  • Monitoring and accuracy tuning
  • Model and prompt refreshes
  • Continuing engineering support
Industries

Sectors We Serve

Banking & Financial Services Healthcare Logistics & Maritime Insurance Legal & Compliance Education Retail & E-Commerce Manufacturing Agri-Food & Urban Farming IT & Cybersecurity
Results in Practice

Selected Case Studies

Selected case studies, and the problems they set out to solve.

Payment Fraud, Flagged Fast
Banking & Finance
Payment Fraud, Flagged Fast

Risk-scores every transaction and raises live alerts on likely fraud.

Read case study →
Explainable Medical Imaging
Healthcare
Explainable Medical Imaging

Highlights probable conditions in X-rays and scans and shows clinicians the evidence behind each finding.

Read case study →
Hearing the Customer Clearly
Retail & Customer Experience
Hearing the Customer Clearly

Aspect-by-aspect sentiment and emotion from customer feedback, delivered as dashboards.

Read case study →
Browse All Case Studies
Technology

Our Engineering Toolkit

We have no favourite vendor. Tools are chosen on fit - accuracy, cost, hosting rules and your team's ability to maintain them.

Python PyTorch Hugging Face LangChain LangGraph LlamaIndex OpenAI GPT Anthropic Claude Google Gemini Llama Mistral Qdrant / Pinecone / pgvector FastAPI React Docker Kubernetes AWS Microsoft Azure Google Cloud

Have a Process That Should Run Itself?

Tell us about it in a free, no-obligation working session. We will show you where an agent fits, what it would take and how you would measure the result.

Book a Free Session

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