Flowgence embeds certified engineers inside your operations to rebuild your stack end-to-end — then hands you Flowgence Cortex: a living platform that monitors, evolves, and owns every workflow we built together. No decks. No handoffs. Ownership.
"The best way to understand a problem is to live inside it."
Palantir's Forward Deployed Engineer model changed enterprise software by refusing to build from a distance. FDEs don't take briefs — they embed, observe, and build. They own the outcome.
Flowgence applies this model to AI infrastructure. Our engineers sit inside your team — attending standups, using your tools, talking to your ops staff — and rebuild your database schema, cloud architecture, CRM pipelines, and agent systems from the inside out.
When we leave, you have production systems running inside Flowgence Cortex. Not a roadmap.
| Traditional consultant | Flowgence FDE |
|---|---|
| Delivers a strategy deck | Delivers working production systems |
| Works from their own office | Embeds inside your team |
| Hands off to your eng team | Owns the build end-to-end |
| Measured in billable hours | Measured in systems shipped |
| Leaves when contract ends | Hands you Flowgence Cortex |
| Generalised advice | Certified in your exact stack |
Flowgence Cortex is the living platform at the centre of your AI-transformed operations. Every agent, pipeline, SOP, and database sync your FDE built — tracked, measured, and ready to expand.
| Workflow | Layer | Status | Last run |
|---|---|---|---|
| CRM lead sync | CRM | Live | 2 min ago |
| Invoice data pipeline | Data | Live | 14 min ago |
| Lead scoring agent | Agent | Review | 1 hr ago |
| DB → BI sync | Data | Building | In progress |
Our certified engineers embed inside your team, deliver production systems in weeks — then hand everything off to Flowgence Cortex for ongoing monitoring and expansion.
We audit your data layer, migrate to modern schema design, and build real-time sync pipelines. Certified in GCP Database Engineering — AlloyDB, Cloud SQL, Spanner, and legacy migrations.
Multi-cloud and hybrid architectures grounded in the GCP Well-Architected Framework — reliability, security, cost optimization, and operational excellence built in from day one.
Multi-agent orchestration using MCP, A2A protocols, and LangGraph — grounded in your enterprise data via RAG, with responsible AI guardrails and ROI-tracked outcomes built in.
End-to-end data pipelines from raw ingestion to ML-ready feature stores — Pub/Sub, Dataflow, BigQuery — giving your team a single source of truth for decisions and AI training.
CRM platforms integrated at the API layer, with automated lead scoring, follow-up sequences, and attribution models. Revenue teams operating without manual data entry.
Scalable cloud-native applications on GCP using containerized architectures — Cloud Run, GKE, Artifact Registry, CI/CD pipelines — following GCP developer best practices throughout.
Our engineers hold certifications that map directly to the work we deliver — practitioner-level depth in architecture, data, AI agents, and application development.
Multi-agent orchestration, MCP and A2A protocol design, Copilot Studio, Azure AI Foundry, responsible AI governance, and enterprise ROI analysis.
Design and manage production-grade GCP solutions grounded in the Well-Architected Framework — security, reliability, performance, and cost across multi-cloud environments.
Design scalable, secure database solutions — AlloyDB, Cloud SQL, Spanner, Bigtable, migration tooling, schema design, and modernization strategies.
Build, test, and deploy scalable applications — Cloud Run, GKE, Artifact Registry, Cloud Build, observability, and production CI/CD pipelines.
Design data processing systems at scale — BigQuery, Dataflow, Pub/Sub, Cloud Composer, Dataproc, and ML-ready pipelines that feed AI systems with clean, structured, real-time enterprise data.
Like Palantir's FDE program — but purpose-built for AI infrastructure teams at high-growth companies. A certified engineer inside your business from day one.
We map every manual process, data flow, and tool across your operation. We surface infrastructure debt and identify the highest-leverage automation targets.
We design the target-state system: database schema, cloud layout, agent orchestration, and integration plan. You approve before a single line of code is written.
Our engineers build in two-week sprints inside your production environment. We attend your standups. No black-box deliverables. No handoffs to a different team.
All systems deploy into Flowgence Cortex, giving you full visibility without depending on us for every update. We stay on to tune, expand, and own.
We build with the same infrastructure used by enterprises at scale — not low-code wrappers — so every system we ship is maintainable, auditable, and runs inside Flowgence Cortex.
Book a 45-minute workflow audit. We'll map your current stack, identify the top three automation targets, and give you a certified build plan — with a live Flowgence Cortex demo.
Forward-deployed AI engineering — and the platform that keeps it alive. Flowgence Cortex monitors, evolves, and owns every workflow we build together.
531A Upper Cross Street
Singapore 051531
[email protected]