From business data to decisions and action
NeuralTide connects data from your internal systems and external sources, then builds business intelligence, AI agents and automation that do real work, on the cloud or infrastructure you choose.
Your data. Your cloud. Your control. · Free discovery call · scope and quote agreed before any work starts
Automation OverviewLast 24 hours
- Answered staff: travel expense policyDone
- Drafted quotation #Q-0412Approval
- Read 32 invoices into the ERPRunning
- Daily bank reconciliationDone
This interface shows how NeuralTide automation and agent monitoring can be presented. All metrics are sample data, not customer results.
One architecture, from data to action
Your business already has the data, scattered across systems, documents and outside sources. NeuralTide connects it, gives it business context, lets AI analyse it, then has agents carry the work forward in your real workflows.
Connect
Bring external data and your internal systems into one place through secure connectors.
- External: company registries, markets, news, web
- Internal: ERP, CRM, documents
- API, MCP, ETL and web scraping
Understand context
Give the data meaning, e.g. merge the same company from many sources into one picture.
- Entity resolution
- Knowledge graph and vector database
- Your own business rules
Analyse
Turn data into research, insight and risk or opportunity signals your team can use.
- Company and market intelligence
- Risk and opportunity signals
- Summaries with sources
Decide
AI agents plan, pick tools and propose options, always measured against a test set.
- LLMs and AI agents
- Tool use through MCP
- Evaluation sets for accuracy
Act
Update systems, send reports and alerts, create documents, with approvals and a log of every action.
- CRM, ERP, email and alerts
- Approval flow
- Audit log and kill switch
NeuralTide AI Laboratory: experiment safely, improve continuously
An enterprise AI experimentation, orchestration and continuous-improvement environment. NeuralTide AI Laboratory helps organisations experiment safely, learn from production workflows and keep improving their AI systems over time.
The improvement loop
- 01Research
- 02Prototype
- 03Evaluate
- 04Deploy
- 05Observe
- 06Learn
- 07Improve
Build
- Agent workspace
- Model gateway
- MCP registry and tool registry
- Knowledge layer
Evaluate
- Research pipeline
- Evaluation framework
- Prompt and agent versioning
- Human approval
Operate
- Observability
- Cost monitoring
- Security policies
- Knowledge update pipeline
Four capabilities, one connected system
NeuralTide designs and deploys vendor-neutral AI systems that connect enterprise data, intelligence, AI agents and automation across cloud, hybrid and on-premise environments. Start with one pilot and build on it once the results are real.
Quick Win Recommended start
Pick the one workflow that eats most of your team's time and let the system take it over. Measure the result clearly before you invest further.
- Company intelligence: one-page briefs on companies for sales or analyst teams
- Trend & demand intelligence: Google Trends keywords grouped into clusters, how fast each is rising, and what products each pillar needs
- AI assistant that answers customers or staff from your own knowledge base
- Document AI that reads invoices and POs and enters them into your ERP
- Daily reports and alerts delivered to LINE, Slack or Teams
How many vacation days do I have left this year?
Enterprise Data & Intelligence
Turn fragmented enterprise data into intelligence you can decide on.
- Data integration, ETL / ELT and APIs
- Enterprise search and knowledge bases
- Company, market and business intelligence
- Document intelligence and MCP data connectors
AI Agents & Automation
AI agents that understand context, make decisions and execute real workflows within set permissions.
- Research, document, operations and sales agents
- Workflow automation: n8n, Power Automate, APIs, webhooks
- Agent ops: human approval, audit logs, evaluation
- Monitoring, guardrails, cost control and a kill switch
Enterprise Applications & Integration
Applications and integrations that connect AI to the systems your organisation already runs.
- Internal applications, admin portals and ops dashboards
- ERP, CRM, Microsoft 365 and Google Workspace
- Enterprise APIs, MCP servers and middleware
- Database and legacy-system integration
Cloud & AI Infrastructure
Deploy AI where your business needs it: solution first, infrastructure second.
- Azure, Google Cloud, AWS or on-premise
- LLM gateway, model routing and agent runtime
- Vector databases, RAG and local LLMs / GPUs
- Secrets, monitoring and logging
Connect AI to the data your business actually uses
External data and your internal systems flow through the same connectors into one data layer, so AI sees the whole business in one place.
External data
- Business Registry
- Capital Market
- Regulatory Filings
- News & Media
- Open Web
- Public Data
- API
- MCP
- ETL
- Webhooks
- Secure Connectors
Your systems
- ERP
- Accounting
- CRM
- Database
- Data Warehouse
- Documents
- Email & Chat
- Internal APIs
What work can AI take off your team's hands?
Examples from each department. Every project starts from your organisation's real data and is measured in time saved or errors avoided.
Know partners and markets before you decide
- One-page company briefs
- Track competitors and industry moves
- Research and summarise markets for you
- Trend analysis from Google Trends: keyword clusters, their pillars and the products each one needs
- A morning summary for executives
Something we built ourselves: AI that pulls company data from Thailand's business registry and analyses the financial statements automatically.
Talk to us about thisFind the right customers and close faster
- Build target-company lists from public data
- Score and rank the leads most likely to buy
- Draft proposals and follow-up emails
- Keep the CRM up to date automatically
Less paperwork, numbers sooner
- Read invoices and POs into the ERP
- Automatic monthly financial reports
- Reconcile accounts and flag mismatches
- Instant alerts when numbers look wrong
Routine work that runs itself
- Sort documents and extract their data
- Daily summaries sent to the team
- Alerts to LINE, Teams or Slack
- Hand work between systems without re-keying
Ask and get answers from your own documents
- Search every document in one place
- An AI assistant that answers staff
- Answers on internal policies and rules
- Research and summaries for daily work
Shaped to your industry
No starting from zero each time: we use the same approach and adapt the data sources, rules and workflow to your business.
- Finance & wealth advisory
- Company analysis, news monitoring and research briefs for advisers
- Manufacturing
- Supplier assessment, procurement, ERP integration and production reports
- Professional services
- Research, proposals, knowledge management and client onboarding
- B2B sales
- Lead discovery, company enrichment, qualification and CRM updates
Deploy anywhere that fits your organisation
We design the solution first, then choose the infrastructure that fits your security, cost and existing systems, without tying you to a single provider.
AWS · Azure · Google Cloud
Run on the cloud you already use, with your existing AI services and contracts.
Including Cloudflare for the edge and securityCloud + your systems
AI runs in the cloud while connecting securely to the ERP, databases and legacy systems inside your organisation.
For organisations with many existing systemsPrivate Server · GPU · Local LLM
Data never leaves your organisation: AI models run on your own servers or GPUs.
For sensitive data and data-residency requirementsYour data. Your cloud. NeuralTide builds the intelligence layer on top.
You hold the cloud account and the data and pay the provider directly: less vendor lock-in, and you can always move.
Who owns the data: see the Trust Center →- Cloud account
- All the data
- Production environment
- Credentials and access
- Architecture
- Development · Integration
- Deployment
- Monitoring and support
How much AI does on its own is your call
We define what AI may do by itself and what waits for a person. Every level has an audit log and a kill switch; move up a level only once the system is accurate enough.
- AIReads the request from email, checks stock and prices, and builds the quotation
- HumanAn approver confirms or adjusts the numbers before it goes out
- AISends the quotation and logs it in the CRM automatically
Where we recommend starting: nearly full speed, with a person in control of the key step
Security & Governance · designed with enterprise controls in mind
- Least privilege and role-based access
- Secret management
- Encryption suited to the data
- Separate environment per organisation
- Configurable data retention
- Choose or switch model providers
- Private / local model option
- PDPA-aware by design
Technology should fit the problem, not lock you to one vendor
Every model, cloud and database plugs into the same NeuralTide core, so providers can be switched without stopping or rebuilding the system. Point at a model or database in the list to try it.
AI models
Chosen per task for accuracy, speed and cost, or several combined
- OpenAI
- Claude
- Gemini
- Llama
- Mistral
- DeepSeek
- Qwen
- Perplexity
- Hugging Face
- Ollama
Agents and orchestration
AI that plans, calls tools and hands work along step by step
- LangChain
- LangGraph
- CrewAI
- MCP
- Dify
- n8n
- Temporal
- Airflow
Data and vector databases
Knowledge AI can search: documents, databases and real-time data
- PostgreSQL
- Supabase
- Qdrant
- Milvus
- Redis
- Elasticsearch
- Snowflake
- BigQuery
- Databricks
- Kafka
Monitoring and safety
See every agent action, measure accuracy and get alerts on anomalies
- Grafana
- Prometheus
- Sentry
- MLflow
- Weights & Biases
Business systems
Agents work inside the tools your team already uses, no migration
- LINE OA
- Slack
- Microsoft Teams
- Google Sheets
- Notion
- Jira
- Salesforce
- HubSpot
- SAP
- Odoo
Names and logos are trademarks of their owners, used only to identify the technologies we work with.
- System started · 12 agents
In-house AI training your team can use right away
Courses designed around your team's real work, not generic theory slides. Everyone gets hands-on with the tools and data they use every day.
AI for Leaders
Understand what AI really can and can't do, so you invest and set direction in the right places.
- How AI, AI agents and automation differ
- Choosing use cases worth doing from your real work
- Risk, data governance and PDPA
- A 6–12 month AI roadmap
AI at Work
Use ChatGPT, Claude and Gemini in each department's daily work right away, safely and with results you can check.
- Prompts that produce usable results
- Summarise documents, draft emails, analyse Excel data
- Check AI answers and know when not to trust them
- Rules for using company data with AI tools
Build AI Agents
Build a real AI system on your organisation's data and leave with a prototype you can extend.
- RAG and vector databases on internal documents
- AI agents with LangGraph and MCP
- Evaluation, monitoring and cost control
- Deploying on your cloud or servers
- On-site, online or hybrid
- Your own case studies and data
- Tailored to your team's level
- Course materials and post-training exercises
After the training your team leaves with a list of use cases AI can really help with, ready to become a Quick Win with us.
Start with one problem, prove it before you scale
Every engagement starts with a free discovery call. We then put the scope and price in writing before any work begins, with no hidden costs.
Discovery
We find the work that is repetitive, slow or error-prone and pick the starting point with the clearest payoff.
Prototype
A small system on your real data, so you see results before committing to a full build.
Deploy and onboard
Installed into the tools your team already uses, with guides and the approval steps we agreed.
Monitor and scale
We track results from real usage, then move on to the next task when you're ready.
Start with a prototype
Prove the value on one task with your real data, then decide whether to expand.
- A task with clearly measurable results
- A prototype your team can actually use
- Results summary and an expansion plan
For organisations just starting with AI
Talk about a prototypeA full system project
Designed and built to your brief in phases, accepted and paid per milestone.
- ETL, web scraping, dashboards
- Software, web applications and AI SaaS
- Sign-off at every phase before moving on
For work that is already clearly defined
Request a scopingOngoing care
A team that runs, improves and monitors the AI agents working for your organisation every day.
- Monitoring and fixes
- Prompt and business-rule tuning from real data
- Regular performance reports
For systems already in production
Talk about ongoing careWhat a quote is based on
- Scope
- How many steps and edge cases the system must handle
- Data sources and integrations
- External data, CRM, ERP, databases or existing documents
- Usage
- Data volume and AI model calls per month
- Autonomy level
- How much human approval is needed, and whether we run it afterwards
Before you decide, you may be wondering
Who is NeuralTide and what do you do?
NeuralTide is an AI, data and automation solution provider for organisations in Thailand. We connect business data from inside and outside the organisation, turn it into intelligence, and build AI agents that act on it, plus custom software and in-house AI training. The name joins Neural (the intelligence of AI) and Tide (the continuous flow of work and data through an organisation).
What is an AI agent, and how is it different from a chatbot?
A chatbot answers from prepared text. An AI agent plans and carries out work on its own, such as reading documents, searching your systems, creating a quotation or passing work to a person for approval, always within the limits and permissions your organisation sets.
What is MCP and why does it matter for business?
MCP (Model Context Protocol) is an open standard that lets AI connect to external data and tools in a structured way, for example looking up company data from outside sources, pulling records from your CRM or triggering actions in your systems. NeuralTide uses MCP and APIs as the connectors between AI and your real business data.
Do you also build applications or integrations without AI?
Yes. Under Enterprise Applications & Integration we build internal applications, portals, dashboards and APIs that connect your ERP, CRM or legacy systems, structuring the data so AI can be added later without a rebuild.
What is RAG and how does it help?
RAG (retrieval-augmented generation) means the AI searches your documents and databases before it answers, so answers are grounded in your company's real information, such as HR policies, product manuals or contracts, instead of the model's general knowledge.
How much does it cost?
It depends on the scope, the systems to connect and the usage, so we don't use fixed packages. After a free discovery call we send the scope and price in writing before work starts, paid in milestones.
Which AI models and clouds do you use?
Chosen per task, e.g. GPT, Claude or Gemini, and switchable later without a rebuild. We deploy on AWS, Azure, Google Cloud, hybrid or on-premise servers and GPUs; if data must stay inside your organisation we can run models locally.
Is our business data safe?
We access only the data and permissions a task needs, use separate accounts for automation, you can revoke access at any time, and the data terms for each project are written into the contract before we start.
Who owns the code and systems you build?
Your business data and business-specific code are yours. Reusable general modules are spelled out in the contract before work begins.
What do we need to get started? Do we need an IT team?
Just the problem you want solved, sample data or the systems you use, and someone who can make decisions. No IT team needed: we handle setup and integration and hand over with guides your team can use.
Tell us what you'd like AI to do, and we'll get back to you
Describe the task briefly and press send. It goes straight to the NeuralTide team by email; we'll read the details and reply to the email you give us to set up a free call about scope and price.