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Briefing for SP Digital

Turn trusted SP data into approved action with governed AI

Our AI-native engineers work alongside SP teams to take one high-value workflow into production. Human approval stays built in, and fees are tied to measurable results.

VPVPP cluster 3Investigating
Today, 14:32
Shortfall flaggedDelivery below schedule in the 14:00 to 14:30 window. Raised by the VPP platform.
Evidence retrievedDispatch logSCADA historian, read‑onlyMaintenance historyOnly sources you may read
Draft investigationTwo sites under-delivered. Historian data shows one inverter offline. Recommend an inspection work order.
Approval needed from the asset engineer before a work order is raised.
Approved
Work order WO-5531 createdEvidence pack saved to the case.
Message Mekong OS
What We Read About SP

Why enterprise AI is hard to move into production at SP

Data must stay within SP's environment

DAP runs on‑premises with Cloudera and Talend. Connected systems must comply with the CII cybersecurity code, while SP's data leaders continue to prioritise AI sovereignty.

Promising agents still need a path to production

SP already builds LLM, RAG and agent workflows. However, we found no public standard for runtime controls, approvals or workflow orchestration. Without these foundations, pilots can stall before production.

Five business areas share one platform

Asset management, customer service, sustainability, corporate productivity, and engineering delivery all depend on DAP. Each use case brings its own connectors, business definitions, and model operations.

Sandbox rules require a clear evidence trail

SP's 15 MW VPP pilot operates within EMA's two-year sandbox. Delivery shortfalls, penalties, and compliance evidence must be investigated and followed through. Much of that work appears to remain manual.

Who We Are

AI-native engineering for systems that cannot afford guesswork

AI-native engineering

AI agents build against clear specifications. Senior engineers define the acceptance criteria, review every change, and approve each release.

30-50%Faster time to market
40-60%Less rework
90%+Of requirements covered by tests

Enterprise engineering

We connect the systems you already run while meeting their security, operating, and compliance requirements.

Energy and infrastructure experience

Our team brings more than 12 years of experience with Siemens Mobility and Yunex Traffic, alongside work in energy trading and industrial AI.

Forward-deployed AI pod

Engineers work alongside SP's process owners in Singapore, supported by AI, data, security, integration, and QA specialists in Hanoi. One delivery lead remains accountable throughout.

Outcome-based delivery

A fixed fee covers delivery. Once the agreed KPI reaches its target, an outcome bonus applies for that measurement period.

Offerings

From one SP workflow to a measurable result

Two services run on one supporting platform. DAP remains SP's programme. We strengthen and extend it without replacing it.

A sealed glass block with three lit systems inside: data and search, AI models, application services

Private and sovereign AI

Search, drafting, and approved workflows run within SP's environment. Models, data, and retrieval remain on‑premises, in a private cloud, or air‑gapped.

Explore private and sovereign AI

Expected outcomes

  • Private model execution. Open-weight models run on SP-controlled GPUs.
  • Permission-aware answers. Every response respects the source permissions of the person asking.
  • Auditable activity. Search, drafting, approval, and action logs remain available for review.
Workflow runBaseline measured
  1. Intake
  2. Context
  3. Draft
  4. Review
  5. Update
Owner namedCriteria agreedAudit on

Click a step to move the run

Agentic process transformation

Forward-deployed engineers take one workflow into production. Every approval has a named owner, and results are measured against an agreed baseline.

Explore agentic process transformation

Expected outcomes

  • Clear accountability. Every approval has a named business owner.
  • Controlled system updates. Agents update business systems only after the required approval.
  • Measured value. Results are reported against the baseline agreed during discovery.

Mekong OS

Mekong OS connects SP's source systems to approved actions through seven governed layers. The architecture shows what SP could retain, where we could integrate, and what discovery still needs to confirm.

Explore Mekong OS

Expected outcomes

  • Existing systems stay in place. Mekong OS works with SP's current platform and source systems.
  • Metrics keep one definition. Reusable data products give each KPI a consistent meaning.
  • Delivery follows a clear sequence. SP receives a scoped and costed path from discovery to production.
Eastgate's Own Solution

Mekong OS turns business knowledge into approved action

The Mekong carries water across six countries before reaching Vietnam's delta. Mekong OS follows the same idea: knowledge flows through one governed system and emerges as work that people can review, approve, and use.

What flows in

  • Documents
  • Business systems
  • Company knowledge

Business context

Sources join a shared organisational context while retaining their own permissions and access rules.

Agent workflows

Agents and people share each step of the workflow, including tasks, approvals, and system updates.

Workflow controls

Policies, approval rules, and evaluation criteria govern the workflow. Every step leaves an audit record.

Approved actions

Once approved, decisions become permitted system updates. The outcome is recorded and measured.

What flows out

  • Decisions
  • System updates
  • Business outcomes
Mekong OS Reference Architecture

How Mekong OS could fit SP's data and AI platform

Explore the architecture one layer at a time, from SP's existing source systems to the applications people use. Each layer shows what SP could provide, where Eastgate could integrate, and what discovery must confirm.

Supported programme areas

Asset managementCustomer serviceSustainability solutionsCorporate productivityEngineering and delivery
Governance & Security
Platform Operations

Potential mapping to DAP
Validate during discovery
SP providesEastgate integratesCustom engineeringNeeds discovery
Capability Status

What is ready now, and what we would build with SP

The Mekong OS glass stack with six capability pins on its layers
    Engagement Model

    Start with one workflow. Expand when the results support it.

    Discovery

    Choose one workflow, identify its users, map its systems and permissions, and measure the current baseline.

    Output a workflow map, baseline, and focused pilot scope

    Focused pilot

    Build the agreed scope and test it against the acceptance criteria defined during discovery.

    Output a working workflow with measured results

    Production delivery

    Agree on ownership, security requirements, operational support, rollout, and ongoing measurement.

    Output a production rollout plan and support model

    One delivery team across Singapore, Hanoi, and SP

    SP staff working together at a laptop
    Onsite in SingaporeA delivery lead and forward-deployed engineers work directly with SP's process owners.
    Eastgate engineers at work in Hanoi
    Engineering hub in HanoiAI, integration, data, security, and QA engineers build against the agreed specification.
    SP engineers reviewing a tablet in front of transformer bays
    Your team at SPThe workflow owner confirms acceptance. SP's platform team approves the design and operates the production service.

    Choose the commercial model that fits the work

    • Architecture and sizing

      Define the deployment architecture, GPU and storage requirements, security controls, and costed delivery plan.

      Fixed price
    • Forward-deployed engineers

      Embed engineers with SP's team to take one selected use case into production.

      Fixed fee, then outcome-based
    • Project delivery

      Deliver a defined workflow against agreed milestones and acceptance criteria.

      Fixed price per milestone
    • Dedicated AI engineering team

      Build and operate additional workflows with a stable, long-term engineering team.

      Time and materials or retainer

    How outcome-based fees work

    Before deployment, we agree on the baseline, target, and measurement data. For example, if a maintenance incident takes 30 hours to close today, the target could be 20 hours. The fixed fee covers delivery; an outcome bonus applies only in periods when the KPI meets or exceeds its target.

    Fixed fee onlyFixed fee plus outcome bonus
    Tailored Use Cases

    Four energy workflows worth exploring with SP

    These are discussion hypotheses based on SP's publicly described DAP programme areas. They are not confirmed requirements or delivered SP results.

    From employee request to approved system update

    Retrieve only the information an employee may access. Recommend an action, route it for approval, and update the business system with a record of every step.

    1. Ask using the employee's permissions
    2. Retrieve authorised information
    3. Prepare a recommendation with cited sources
    4. Route for human approval
    5. Update the business system

    Controls

    • Permission-aware retrieval. The employee's permissions remain in force from search through action.
    • Resumable workflows. Work continues after approval or returns safely after an interruption.
    • Complete records. Every action and supporting item of evidence is logged.

    Systems

    • Identity and access management
    • Document and knowledge stores
    • SAP and Oracle business systems

    Proposed measures

    • Number of manual handoffs
    • Approval turnaround time
    • Total completion time
    • Audit-record completeness
    Proof

    Evidence from live, high-stakes systems

    SiemensYunex TrafficAutobahnKörberWestfaliaInfraSignalSeneca ESGCygon
    Michael Gärtner
    “Eastgate has been a long-term strategic partner for our ITS division. Their reliability and quality of deliveries have been exceptional.”
    Michael GärtnerVP, Siemens Mobility ITS US
    ISO 27001:2022 Information Security Management System certified ISO 9001:2015 Quality Management System certified Claude Partner Network member AWS Partner
    Clutch Top App Modernization Service company, Vietnam 2026 Clutch Top Cloud Consulting Company, Vietnam 2026 Clutch Top Machine Learning Company, Vietnam 2026

    Founders and Leadership

    Ha Bui

    Ha Bui

    Co-founder and CEO

    15+ years building engineering organisations for mission-critical systems.

    Dr. Paul Mathias

    Dr. Paul Mathias

    Co-founder, Board Member

    30+ years in ITS and traffic engineering, formerly at Siemens.

    Christian Dowideit

    Christian Dowideit

    Co-founder, Board Member

    Leads architecture for mission-critical infrastructure projects.

    Tuan Nguyen

    Tuan Nguyen

    Co-founder, Board Member

    Hands-on solution architect across critical engagements.

    Sophia Thuy Ng.

    Sophia Thuy Ng.

    Chief Commercial Officer

    Leads global expansion and strategic partnerships.

    Whitepapers

    SP Developments

    What SP has shared publicly, and what we still need to confirm

    These dated public developments explain why the proposed workflows may be timely. We have not treated any of them as a confirmed SP requirement.

    1. VPP pilot unveiled at CEPSI 2025

      The pilot combines up to 15 MW of SP-owned solar, battery, and EV-charging capacity within EMA's two-year sandbox.

      SP Group EMA
    2. Univers memorandum of understanding for the VPP platform

      The announced scope covers design, integration, testing, and scaling. It does not publicly define responsibility for forecasting, bidding, or settlement.

      Univers
    3. Data and AI Platform programme

      DAP is a group-wide programme built on on‑premises Cloudera and Talend across five business areas.

      DAP role Data platform AI engineer
    4. CII cybersecurity code issued

      Systems connected to critical infrastructure, including their AI layers, operate under the asset owner's oversight.

      CSA
    5. Enlit Asia Smart Grid Award

      SP's VPP was named the 2026 Smart Grid winner. The award is recognition rather than a measure of operational performance.

      Enlit Asia
    6. AI sovereignty panel at Tech Week

      SP's data science leadership joined a panel on AI sovereignty in the Asia-Pacific region.

    7. Singapore International Energy Week

      SP is a sponsor, and its Group CEO is among the announced speakers.

    8. Future of the Grid at Sands Expo

      SP speakers are scheduled to discuss AI-driven asset management and distributed energy resource integration.

    SP programmes that may shape the opportunity

    • FUSION.AI. This group-wide workforce AI project reportedly redesigned more than 400 roles and saved over 300,000 person-hours, according to SP's 2026 annual report.
    • CoRe+. The programme covers corporate digitisation and AI, including HR Buddy and Compliance AI.
    • Smart metering. SP operates more than 1.72 million smart meters through an Itron head-end.

    Questions to answer with SP

    • Which DAP workflow already has a clear owner, defined users, and a measurable baseline?
    • Which agent framework and workflow engine are SP's standards?
    • Is an interface between DAP and the VPP platform planned?
    • Where does the delivery boundary sit between SP, Univers, and the distributed energy resource management system?

    Start with one workflow.

    Two hours with your workflow owner and our architect. You leave with a pilot you can measure.