Polaris/ FDE
中文
Forward Deployed Engineering
Polaris FDE joins your business and engineering teams. We write in your repositories, build against your data, bridge the APIs and test under real constraints—until the agreed business measure moves.
THE FRONTIER AI LAB FOR ENTERPRISE
02 // POLARIS FDE SERVICES
Polaris combines field diagnosis, AI product engineering and production operations in one engagement. The architecture is model-agnostic. Acceptance is tied to an operating result your team can verify.
ENTER THE WORK
Polaris engineers work beside operators, inspect real records and trace logs across the systems involved. We identify where the process fails, what the failure costs and which result should define success.
DESIGN THE SYSTEM
Polaris selects models against quality, latency, security and cost. We design context, memory, tool access, approval gates and recovery paths around the business—without forcing a proprietary model or platform.
BUILD + DEPLOY
Polaris builds the Agent, integrations, identity and permissions, user experience, telemetry and human fallback. We break the edge cases in a controlled environment, then introduce real traffic in stages.
OPERATE + IMPROVE
Polaris monitors the business result, repairs production failures, reruns evaluations and improves the system as policies, data and user behavior change. The engagement ends when the agreed result holds—not when the demo works.
03 // BUILD YOUR AI WORKFORCE
Polaris has helped more than 100 enterprises complete their AI transformation. From the first executable Agent to a coordinated Agent cluster and the production system around it, Polaris FDE owns the engineering, deployment and business acceptance.
Polaris lets AI own the full service journey
Polaris makes the Agent remember and act on context
Polaris keeps operations moving automatically
04 // FROM DEMO TO PRODUCTION
The service Agent cannot read an order. The hardware Agent forgets user preferences. The operations Agent has no permission to act. One exception sends the work back to a person. Polaris FDE connects the data, permissions and execution systems so the Agent can finish the job.
POLARIS / AI TRANSFORMATION
POLARIS / SECURE DELIVERYLOCAL-FIRST / ENCRYPTED
Polaris encrypts the full delivery path. When required, the deployment can use local models, private networks and de-identified data throughout. Global law firms including Cooley and JunHe use Polaris this way.
END-TO-END WORK
Polaris found the gap: the Agent can answer, but it cannot complete the cross-system work.
BUSINESS ACCEPTANCE
RESULTAgent completes the full caseBEFOREPeople operate every systemAFTEROnly exceptions reach peopleAccepted on labor removed, cycle time and customer result.POLARIS / AGENT EXECUTION LAYER
const context = await customer.load() - return answer(context) + const plan = await agent.decide(context) + await orders.update(plan) + await fulfillment.reschedule(plan) + await customer.confirm(result)
REAL OPERATING EXCEPTIONS
LIVE WORK ALLOCATION
BUSINESS OUTCOME / END-TO-END COMPLETION
Complex customer service, order handling or hardware support starts from real operating records. Polaris locates the labor, delay and customer impact, then defines the business acceptance measure.
Polaris builds the Agent, long-term context, tool use, failure recovery and human takeover, then connects CRM, orders, devices, knowledge and internal approvals.
The system takes a small share of live tasks first. Polaris verifies labor removed, cycle time, customer satisfaction and product usage before expanding to more workflows.
05 // PRODUCTION USE CASES
From customer service, connected hardware and cross-border sales to clinical operations and order management, Polaris builds the Agent, integration and operating layer—then accepts against the business result.
The problem todayThe bot answers FAQs, then hands off every order change, delivery coordination or after-sales request. Customers repeat themselves while agents jump between back-office tools.
What Polaris ownsConnect knowledge, orders, CRM, fulfilment and ticketing. The Agent keeps context and completes the operation; only high-risk or exceptional cases reach a human with the full record attached.
The problem todayThe AI forgets yesterday's preference and misses data the device just recorded. Repeated reminders and conflicting guidance make users disable the feature—or return the product.
What Polaris ownsConnect telemetry, multi-day preferences, recovery knowledge and support. The Agent adapts guidance, blocks the wrong reminder and gives a human the complete history when support takes over.
The problem todayOrders are scattered across email, spreadsheets and separate systems. Teams re-enter data, wait on approvals and lose track of exceptions.
What Polaris ownsConnect CRM, ERP, WMS, payment and finance systems. Agents validate records, execute approvals and writes, retry failures and route only judgment-heavy exceptions to an owner.
The problem todayA Singapore-based regional sales team serves several markets at once. Leads arrive through the website, events, partners and email, while customer conversations, commercial commitments and regional handoffs remain scattered across CRM, inboxes, meeting notes and messaging tools. The CRM contains only the last status someone entered. By the weekly review, managers discover that opportunities have already stalled and sellers are still searching for context or re-entering data.
What Polaris ownsPolaris turns every customer interaction, internal decision, owner change, promised date and completed action into Operating Data. A Sales Agent deduplicates and routes leads by market and account type, prepares localized follow-up, tracks the promised next action, detects stalled opportunities and handoff risk, and continuously writes actions and outcomes back to CRM.
The problem todayDashboards show averages. “Answered but unresolved” requests, recurring process failures and misleading metrics often remain invisible until customers complain.
What Polaris ownsContinuously inspect tickets, orders, logs and outcomes. Polaris locates the gap, generates candidate fixes and runs controlled tests; only changes that improve the business result enter production.
The problem todayCare plans, patient messages, device readings and appointments live in separate systems. Staff manually chase routine follow-ups while pain changes, missed exercises and recovery anomalies can remain buried until the next visit.
What Polaris ownsConnect the care plan, approved clinical knowledge, scheduling, secure messaging and device events. The Agent prepares routine follow-up, checks completion and routes defined risk signals to a licensed clinician with the full record attached. Diagnosis and treatment decisions remain with the clinical team.
06 // CONNECTED HARDWARE AGENT
The Agent starts from a rehabilitation goal, reads live device signals and multi-day history, adjusts today’s plan, and hands risk to a human with the full context attached.
Polaris combines the care plan with the user’s preferences and 14 days of progress
Polaris sees that today is different and the original plan should not be repeated
The user receives a safer session matched to recovery—not another generic reminder
The therapist receives the full history, device record and current plan; the care record updates automatically
CARE PLAN + DEVICE SIGNALS + LONG-TERM CONTEXT + CLINICAL HANDOFF
FOR CTOs / COOs / AI TRANSFORMATION LEADERS
If you lead enterprise AI, core operations or an intelligent hardware product, bring the architecture, the real failure and the business measure that must move. FDE will determine with your team whether the problem merits field deployment.
Submit a production problem ↗