Get AI to actually run
inside yourproduction systems
Not another pilot stuck in a slide deck. Our engineers embed with your team and build agents into your real business systems from day one — crossing the pilot‑to‑production gap, with ROI you can actually measure.
Most enterprise AI is stuck between “it demos” and “it ships”.
Models are already strong enough. What blocks enterprises isn’t the technology — it’s delivery: data governance, system integration, process change, compliance audit, closing the ROI loop. That hard, unglamorous work is exactly why Forward Deployed Engineering exists, and what sets us apart from players who only sell models or pitch concepts.
From a consultation to actually running the last 100 meters
We don’t sell training, and we don’t write strategies that sit on a shelf. We start by diagnosing your business, accelerate with AI, and stay until the problem is running in production — that’s FDE: accountable for results, not generalities.
Go deep, find the real problem
Engineers and consulting experts embed together, immerse in your real business and data, and pinpoint the problems most worth solving with AI and easiest to justify — concrete scenarios, processes and ROI, not an industry‑trends report.
Build AI into production with FDE
With Forward Deployed Engineering we build agents straight into your real systems and prove them on your production data — not in a sandbox or a demo — so AI becomes an accelerator for the business, not another island.
We run the last 100 meters with you
From a lighthouse scenario going live, through process redesign and scaled replication, we stay with you from “usable” to “used well” — accountable for the final result, not gone at handoff.
FDE: we put engineers on your floor — not a proposal in your inbox
Forward Deployed Engineering means our people enter your environment, work with your real data and systems, and prove value alongside your team — the model Palantir and Accenture validated, and the one large customers actually pay for.
Embedded build, not a document
Engineers work on‑site, building shoulder‑to‑shoulder with your team — not dropping a deck and a quote and leaving. Where the problem is, that’s where we are.
Aimed at production from day one
We start from a lighthouse scenario and validate value on production data and real systems — not in a sandbox or a demo. Ship to production first, then talk scale.
Engineering × consulting, both legs
We can deliver systems that hold up under real data volumes and do the process redesign and ROI math. Both are essential — and where most competitors have only one leg.
Private & domestic‑stack ready
On‑prem and domestic (Xinchuang) deployment, data never leaves your domain — meeting the compliance bar for finance, government and SOEs.
From one scenario in production to a repeatable product
We don’t promise instant, end‑to‑end “full intelligence.” We get one high‑value scenario running in production first, build confidence and data, then distill it into a repeatable solution and expand step by step.
Pick the scenario
High‑frequency · data on hand · standard process · quantifiable ROI — all four aligned before we start.
→Lighthouse proof
2–3 flagship customers, running in production, in exchange for cases and data.
→Build the kit
Knowledge base + agent workflows + system connectors + ROI dashboard + AgentOps.
→Productize
Compress one‑off delivery into a standard “deployable in X weeks” solution.
→Scale
Replicate horizontally to adjacent scenarios, extend vertically to adjacent industries.
Agents that can act — not just chat
Model‑agnostic
Private‑first with DeepSeek / Qwen, best model picked per scenario — never locked to any single model.
Industry knowledge base
RAG built on your data, so agents truly understand your business context instead of giving generic answers.
System connectors
Wired into ERP, online banking, core and intranet systems so agents can really execute complex cross‑system operations.
AgentOps monitoring
Execution‑trace audit, permission control, exception handling — so agents stay stable even inside core processes.
Private & Xinchuang
On‑prem deployment, data stays in your domain, fully adapted to the domestic hardware/software stack.
Security & compliance
Multi‑level security and auditable design that meet finance and government regulatory and audit requirements.
AI transformation for manufacturing, retail and traditional enterprises — landed in production
We focus on AI transformation for traditional enterprises like manufacturing and retail — from consulting and diagnosis to production landing, applying AI where it creates the most value and the math is clearest. Finance and insurance too.
01Manufacturing
02Retail & Consumer
03Traditional enterprise · AI transformation
04Finance & Insurance
05Online Education
06Healthcare
07Logistics & Supply Chain
08Energy & Power
09Government & Public Services
* Reference ranges from industry deployments; actual results depend on the specific project.
Results that ran in production
Joint‑stock bank · Compliance review agent
Automated regulatory‑document comparison and compliance review, integrated with the bank’s core and intranet systems, cutting review time sharply.
Leading insurer · Claims triage
The agent handles document recognition and first‑pass triage automatically; daily capacity up several‑fold, accuracy steady above 97%.
Manufacturing group · QC + ops reporting
Visual QC and automated ops reports replicated across plants, scaling from a single pilot to broad production use.
We build systems into production,
and get organizations to truly adopt them
Our core team brings together senior engineers from Huawei, Microsoft and Google with delivery experts from top consulting firms. We’ve worked the engineering front line of large enterprise systems and done the consulting that makes AI actually change a business — the combination it takes to cross the delivery gap.
Tell us the one scenario you most want running
In a single consultation we help you judge: which scenario to do first, how to compute ROI, and roughly how long to production.