Can't keep up when inquiries spike?
Knowledge is scattered and difficult questions still need human support.
A place to begin
Customer service solution Start with one recurring question; define sources, safe answers and human escalation.
SAKERAI · PROBLEM FIRST
Start with a real problem.
Build AI that actually helps.
Support teams repeat answers. Teams using multiple agents struggle to reuse work and experience. Market teams face information overload. SakerAI starts with these jobs.
Customer service · Engineering · Intelligence · Voice devices
LannerWORK / 01
Illustrative deliverable
Agent follow-up plan
- Previous work
- Sessions and next actions
- Reusable context
- Approved memory and handoff
- Next step
- Automation or bounded loop
Find work, review a handoff, opt into memory and plan bounded follow-up tasks.
CONTEXT→ACTION→PROGRESS
DESIGNED AROUND YOUR WORKEngineeringResearchBrand growthCreative workOperations
START WITH THE WORK
The best AI projects often begin with a very ordinary problem.
Find a scenario your team recognizes. Understand the bottleneck before choosing the technology.
What did the agents do, and what comes next?
Sessions are scattered. Reusing experience and scheduling work takes effort.
A place to begin
Lanner · Local agent workbench Find tasks locally, opt into memory and run scheduled or bounded work.
Lots of updates, few useful decisions?
Competitor moves and market signals are difficult to verify.
A place to begin
Augur · Intelligence Build a reviewable brief around consistent questions and sources.
A smart device takes more than a model API.
Audio, transports, interruptions and tools must work together.
A place to begin
Mio · AI devices Start with one device and test the voice flow end to end.
FOR BUSINESS LEADERS
Start with whether it's worth doing.
Who has the problem? How often? What would a useful result change? One testable workflow is a better start than a grand platform plan.
- Define the business problem
- Find the team and owner
- Agree on reviewable outcomes
FOR FIELD ENGINEERS
Then ask whether the system can support it.
Can we connect knowledge and business APIs? What requires approval? How do we handle timeouts? Get these answers before building.
- Data, systems and APIs
- Permissions, escalation and timeouts
- Tests, logs and rollback
SAKERAI / IN YOUR WORLD
Beyond the chat window.
Continue work on a computer, capture a thought on your phone, and bring useful context to the field.
Desktop / Lanner
Find the work. Keep the context. Continue with agents.
Manage local sessions, tasks, reviewed handoffs and opt-in memory. Schedule routine work or use bounded loops with quality gates, then inspect behavior and usage.
Explore product ↗Find earlier decisions and next actions in authorized sessions.
Choose relevant memory and review context before proceeding.
Run a follow-up task or iterate within agreed limits and quality gates.
Personal mobile / BXF
Keep a thought today. Make room for the next step.
Explore a mobile Personal Agent for growth, learning, work and everyday stories. See how small moments can connect to action and creative expression.
Explore product ↗Capture an idea and choose a small next step.
Revisit the moments and learning you chose to retain.
Arrange selected moments into a personal video story.
Voice devices / Mio
Devices that listen, respond and work with tools.
Mio connects realtime speech, transports and tools across assistants, recording devices, smart glasses and phone support.
Explore product ↗Receive audio from a configured device or phone session.
Use configured models, knowledge and authorized tools.
Stream a spoken answer and handle interruptions through session policies.
Industrial site / Saker Energy
More than an alarm. Context for the operator.
Explore charging and storage scenarios from signals to possible causes and reviewed work orders. Qualified people remain responsible for equipment actions.
Explore product ↗Scenario replay: inspect charging and storage alerts.
Connect signals and possible causes without assuming causation.
Prepare a work-order draft for review, not direct device control.
Drawings / IMARS
Start with a drawing. End with something reviewable.
Bring 2D drawings, analysis jobs, review and process cards into a project workbench. Inspect the original alongside structured findings.
Explore product ↗Keep original image or PDF drawings with the project.
Run configured analysis and inspect findings against the original.
Correct and approve findings before publishing or exporting a process card.
Illustrative workflow · Select a step to exploreExplore all scenes ↗
PRODUCTS WITH A PURPOSE
Every product should solve a problem someone actually has.
Lanner manages agent sessions, tasks, opt-in memory, automations, bounded loops and analysis locally. Augur and Lagger focus on market and brand intelligence.
Local agent workbench
Lanner
Find work. Resume it. Build memory. Let agents take the next step.
Agent ApplicationsExplore product →
Competitive intelligence workflow
Augur
Discuss changes, evidence and questions—not just headlines.
Agent ApplicationsExplore product →
Brand GEO workbench
Lagger
Define the market, brand and questions before measuring visibility.
Agent ApplicationsExplore product →
SELECTED WORK / REAL CONTEXT
Real problems. Useful AI.
Explore SakerAI industry solutions alongside selected creative and digital projects.
Industry solutionAI Customer Service Solutions
Make every customer conversation
more useful.
Industry scenarios spanning Double 11 service peaks, AliMe-style ecommerce assistants, telecom support and insurance customer-service training.
SakerAI · Customer Service Solutions
Read the project story
Project workAI video creation
From generation tools
to a creative workflow.
Organizing multimodal agent capabilities around a coherent creative process.
Alibaba Cloud · WonderClip
Read the project story
Own brandMobile-first Personal Agent · Product experience
Your life, understood.
Your goals, in motion.
Beyond growth journaling: a mobile-first Personal Agent, built around one person, that unites learning, work, goal follow-through, voice capture and short-video stories.
SakerAI · BXF product brand
Read the project story
BXF / PERSONAL AGENT APP
Your AI. Your Friend. Your Way.
BXF is built around one person: a mobile-first personal agent that unites growth, learning, work, voice capture and personal video stories in an understanding only you have.
Growth & learningWork & goalsEveryday notesCreative expression
Explore BXF TWO WAYS TO START
Solve a job today.
Or build your own AI product.
Applications help with concrete work. Infrastructure helps developers with tasks, context, voice and tools. Choose what you need.
Applications for your work
Products organized around engineering, research, growth, operations and personal experiences.
Agent ApplicationsInfrastructure for builders
Runtime, context, web understanding, voice, creative assets and delivery controls.
Agent InfrastructureChoose what fits the work.
FROM SCOPING TO DELIVERY
From a real need to a usable workflow.
Choose a real workflow
Who starts it? Where does it get stuck?
Workflow and handoff mapCheck data and access
Who owns the source, API and device? Which actions need approval?
Systems and permissions checklistTest real examples
Check accuracy, latency, exceptions and review.
Test cases and findingsPlan the rollout
Agree on monitoring, rollback and ownership before scaling.
Launch checklistBusiness owners should understand the value. Engineers should know what to build.
For a support assistant, connecting a model to a knowledge base isn't enough. Who maintains the knowledge? What happens when the answer is uncertain? When does a person take over billing or complaints? Define that before implementation.
RELIABILITY MATTERS
Check the result.
Plan for what goes wrong.
Data with boundaries
Decide what can be accessed and which tools may process it before connecting systems.
Results you can review
Important observations should connect back to sources and context, not just a confident answer.
People at pivotal moments
Keep appropriate approval around business commitments, equipment operations and external publishing.
GOOD QUESTIONS
Questions buyers and engineers ask
Where should a business leader begin?
For agent sessions, memory and controlled follow-up work, see Lanner. For market intelligence, Augur; for brand presence in AI search, Lagger.
How should a field engineer evaluate a fit?
Review existing systems, data access, approvals, failure handling and acceptance tests before deciding the architecture.
Do I need the whole product ecosystem?
No. Applications and infrastructure serve different needs; choose or combine only where your workflow calls for it.
How do we know a workflow works?
Test on real examples for quality, latency, escalation and maintainability.
How do we start?
Write down the current workflow and expected outcome. Prepare a short brief and connect through the available public channels.
YOUR NEXT CHAPTER
Start with one problem.
Solve it well.
Begin with one workflow and a result you can check.