MAXLAKER 迈思蓝
Solutions

Full-Stack AI Solutions for Vertical Industries

From model access to AI-driven growth, MAXLAKER delivers combined solutions for key domains

01

Enterprise AI Infrastructure

Turn multi-model access and token governance into an enterprise-grade foundation

Pain points

  • Too many models, messy APIs, chaotic bills — engineering dragged down by vendors;
  • Model spend is invisible, making department accounting and reconciliation hard;

Core value

  • One interface across major models
  • Visible, controllable cost with tiered channel distribution

Solution stack

Typical scenarios

  • Group-wide model access & token procurement
  • Multi-model routing and failover for R&D platforms
  • Private deployment for finance, government, and sensitive industries
02

Knowledge & Compliance-Intensive Industries

Turn expert experience into trusted, auditable knowledge assets

Pain points

  • Experience scattered across expert minds and files — lost when people leave;
  • AI Q&A carries hallucination and compliance risk — too risky to launch;
  • High audit and traceability demands — answers need evidence chains.

Core value

  • Answers with version and source evidence — auditable and traceable
  • Expert experience turned into assets that outlast turnover
  • Permissions enforced before retrieval — strong compliance

Solution stack

Typical scenarios

  • Enterprise policy & business-rule Q&A
  • Expert knowledge accumulation & onboarding
  • Compliance review & risk-control evidence chains
03

E-commerce & Consumer Brands

A full-stack AI play for service, content, and growth

Pain points

  • High customer-service labor costs, with response quality slipping during campaigns;
  • Massive demand for product images and marketing videos — outsourcing is costly and slow;
  • Brand content stays invisible to AI search, and campaign ROI is hard to attribute.

Core value

  • Faster customer service with evidenced, auditable answers
  • Multiplied content throughput with controlled cost
  • Attributable content spend — seen and recommended by AI

Solution stack

Typical scenarios

  • Customer-service agents with seamless human handoff
  • Batch product images & short videos for campaign peaks
  • Brand AI-visibility operations & outcome attribution
  • Asset production for gaming and short drama works the same way
04

Brand Growth & Marketing

Seen, recommended, and attributable inside AI answers

Pain points

  • Traditional search dividends fading — brands are absent from AI answers;
  • Content optimization relies on guesswork without experiments or attribution;
  • Agencies juggle many clients with messy operations and commissions.

Core value

  • Continuous monitoring across 13 engines — AI visibility at a glance
  • A/B experiments + attribution — measurable content investment
  • A closed loop of multi-client operations & distribution incentives

Solution stack

Typical scenarios

  • Brand AI-visibility diagnosis & improvement
  • AI word-of-mouth building for new product launches
  • Agency multi-channel client operations
05

General Enterprise AI Transformation

From access to knowledge to custom apps — one-stop landing

Pain points

  • Wanting AI but unsure which layer to start from;
  • Generic products don't fit the business, and custom builds worry the budget;
  • Missing a partner who can connect access, knowledge, and applications.

Core value

  • The four-layer stack in one place — combine as needed
  • POC first — validate at minimum cost before scaling
  • Fully private deployment optional — secure and compliant

Solution stack

Typical scenarios

  • Policy Q&A & process automation
  • Cross-system data integration assistants
  • Industry-specific agent customization

Make AI Your Growth Engine

Start with a demo and see how MAXLAKER's full-stack solutions land in your enterprise.