AI-Native
Software Engineering Partner
for Mission-Critical Systems
AI agents accelerate the build. Senior engineers govern every gate. You get AI-native speed and German engineering standards. Full ownership, from end to end.
Founders and leadership
Ha Bui
Co-founder and CEO15+ years building engineering organisations for mission-critical systems.
Dr. Paul Mathias
Co-founder, Board Member30+ years in ITS and traffic engineering, formerly at Siemens.
Christian Dowideit
Co-founder, Board MemberLeads architecture for mission-critical infrastructure projects.
Tuan Nguyen
Co-founder, Board MemberHands-on solution architect across critical engagements.
Sophia Thuy Ng.
Chief Commercial OfficerLeads global expansion and strategic partnerships.
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.
Four outcome pillars on one delivery engine
An agentic AI delivery firm for mission-critical operations. Each pillar opens the full explanation; together they take one SP workflow from evidence to production.
AI-native engineering
Build and modernise software faster, with senior engineers holding every gate.
- AI-native SDLC
- Product build
- Modernisation
- QA and run
Operational data and AI
Turn operational data into decisions your teams can act on.
- Data platform
- Analytics
- Predictive models
- Vision AI
Enterprise agentic process platform
Your organisation's second brain: knowledge in, approved actions out, with governed agents.
- Discovery
- Control plane
- Guardrails
- Industry agents
Sovereign and private AI
Keep data and models within your boundary, on-premises or air-gapped.
- Architecture
- Private build
- Governance
- Managed run
AI Agents Build.
Senior Engineers Hold The Gates.
Our very own AI-native delivery system makes your output more predictable and controllable. The value is in these five layers we engineer below.
per engineer
covered by tests
Enterprise AI OS: your organisation's second brain, from knowledge to approved action
Like a river gathering its tributaries before the delta, Enterprise AI OS follows one idea: what your organisation knows flows through one governed system, its second brain, and emerges as work that people can review, approve, and use. We deliver it as the platform behind agentic process transformation, or on a platform SP already runs.
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
How Enterprise AI 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
- Potential mapping to DAP
- Validate during discovery
What is ready now, and what we would build with SP
Three ways to work with us. Outcome-based by design.
Choose the delivery model that matches your scope, speed, and operating context. Every model starts from a baseline agreed up front; the Hybrid Pod is paid on the outcomes it delivers.
Dedicated team
A long-term team that scales with your roadmap, managed by us.
- Team
- Remote team, managed by us
- Process
- Define roles → Onboard → Sprint & scale
- Commercial
- T&M or monthly retainer
Project-based
A defined scope delivered against agreed milestones and acceptance criteria.
- Team
- Our project team, full ownership
- Process
- Scope → Plan → Deliver by milestones
- Commercial
- Fixed price per milestone
Hybrid Pod
An onsite solution and domain lead combined with our offshore engineering team, taking one use case into production alongside your owners.
- Team
- Onsite solution and domain lead, combined with our offshore team
- Process
- Discover → Embed → Deploy → Scale
- Commercial
- Outcome-based T&M
Where domain depth, AI-native delivery and enterprise readiness meet
Smart mobility
12+ years with Siemens Mobility and Yunex Traffic.
Logistics
Mission-critical airport automation for Siemens Logistics.
Energy and industrial OT
Energy trading, sensor-driven maintenance and edge AI on the PLC, all in production.
Evidence from live, high-stakes systems
A secure knowledge hub that cites every source
Engineers search thousands of technical documents. Answers use only documents the person may access and include the source.
Relevance to SP: permission-aware answers over private technical knowledge.
Read the case studyA real-time energy trading and hedging platform
Relevance to SP: real-time energy data and market systems integrated and tested end to end.
Read the case studyAirport baggage automation across international airports
Relevance to SP: real-time control software integrated with Siemens PLC systems, in a safety-critical operation.
Read the case studyPredictive maintenance for motor anomalies
Relevance to SP: vibration and load sensor telemetry turned into asset-risk flags that people review before action.
Read the case studyEdge AI quality control at the SCADA and PLC boundary
Relevance to SP: AI on edge GPUs triggering a PLC reject in real time, the same OT boundary SCADA-adjacent work sits on.
Read the case studyWhitepapers
How to Scale Industrial AI Without Starting Over
From a successful pilot to reliable operations.
Beyond the Demo
Five reasons prototypes stall, and how to fix them.
Agent-Centric Development Cycle
Our AI-native SDLC and harness engineering.
Modernizing Legacy Systems
Why modernization stalls, and how structure turns into savings.
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.
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 EMAUnivers 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.
UniversData 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 engineerCII cybersecurity code issued
Systems connected to critical infrastructure, including their AI layers, operate under the asset owner's oversight.
CSAEnlit 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 AsiaAI sovereignty panel at Tech Week
SP's data science leadership joined a panel on AI sovereignty in the Asia-Pacific region.
Singapore International Energy Week
SP is a sponsor, and its Group CEO is among the announced speakers.
Future of the Grid at Sands Expo
SP speakers are scheduled to discuss AI-driven asset management and distributed energy resource integration.
Where would you like to exchange and collaborate?
A working session to pick the workflow, the platform fit, or the data foundation worth starting with. We bring the engineers, you bring the owners.
“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