Customer assets leave with salespeople
Preferences, conversation history, and key relationships live across personal devices and memories, making handovers incomplete.
Tellyn AIAIBook Diagnosis
TellynAI Sales CopilotFor high-value, long-cycle industries such as automotive, jewelry, interiors, and healthcare, Tellyn combines AI recording hardware and industry SaaS to turn field and private-channel conversations into owned, actionable, compounding business assets.

High-value businesses do not need more spreadsheets. They need complete customer context.
Preferences, conversation history, and key relationships live across personal devices and memories, making handovers incomplete.
Winning methods remain in a few people’s judgment. New hires lack real examples, and managers struggle to coach precisely.
Needs, competitor comparisons, and real objections are diluted through retelling before they reach product, marketing, and operating decisions.
Two data pipelines feed one analysis engine: recording devices capture offline conversations, business systems such as WeCom connect online communication, and AI structures, analyzes, and distributes the result.
Recording devices capture face-to-face conversations while WeCom can cover private-channel conversations, with customer consent and clear data boundaries.
AI extracts needs, budget, decision-makers, objections, competitor mentions, and tasks, then writes them to Lark Base or an existing CRM.
Role-based dashboards and operating reports organize sales strategy, needs, product and market feedback, and competitor activity into each team’s next step.
Tellyn does more than reduce admin time. It carries the customer voice from the sales floor into product and marketing decisions—the key difference from recording and meeting-note tools.
Compare won and lost conversations, retain effective questions and objection handling, and generate summaries, follow-ups, and team tasks.
Continuously cluster needs, complaints, and competitor feedback while retaining context for feature, pricing, and priority decisions.
Find recurring questions, content themes, and effective wording in real customer language so campaigns match the sales floor.
We prioritize high-ticket industries where conversion depends on deep conversations and customer assets are vulnerable to staff turnover. The core stays consistent while vocabulary, profile fields, and analysis templates adapt by industry.
Doctors, departments, and procurement teams care about different things. Product information is specialized, decisions take time, and reviews often rely on handwritten sales notes.
Budget, model preferences, trade-ins, family opinions, and competitor comparisons are scattered through a long conversation, leaving follow-up reduced to “still considering.”
Clients weigh commute, schools, layout, floor, and payment options repeatedly. Information across multiple viewings is hard for teams to carry forward.
Large models have lowered the cost of understanding long conversations, AI recording and subscription behavior are maturing, and businesses increasingly need to improve every customer interaction they already have.
Beyond transcripts, roles, intent, objections, and actions can now be extracted reliably from complex sales context.
Hardware and private-channel systems cover offline and online communication without extra sales data entry.
As acquisition gets harder, businesses must improve conversion from existing leads and protect long-built customer relationships.
The business model grows around one customer intelligence asset: start with one team, then expand across stores, roles, and connected systems.
Bring face-to-face conversations reliably into the system with minimal frontline effort. Hardware is the capture point, not the only source of value.
Customer profiles, dashboards, team knowledge, and operating reports deliver recurring value and form the standard product’s long-term revenue base.
Research workflows, integrate systems, and customize agents for lighthouse customers, turning delivery experience into reusable industry templates.
General tools record. Tellyn makes conversations company-owned, analyzable, actionable, and cumulative. Industry templates and success methods come from delivery and improve the standard product.
FDE keeps Tellyn close to real industry workflows, then turns that knowledge into templates, product capabilities, and data—a reinforcing service-to-software loop.
Enter real sales workflows and find high-value problems
Build vocabulary, analysis frameworks, and success methods
Put experience into SaaS and lower the next delivery cost
More real feedback improves industry understanding
For a premium custom-jewelry business in Shanghai, we built a sales knowledge base and conversation analysis from real WeCom conversion records, giving frontline teams more consistent reply guidance. The paid delivery validates demand for turning conversations into team capability.

Each conversation supports follow-up. Conversations across stores and teams help managers identify recurring customer questions, product feedback, and process bottlenecks.

Less admin time, clearer customer context, and a clearer next step.
See shared team issues and coach from evidence instead of guessing from outcomes.
Continuously bring the voice of the customer into product, marketing, and operating decisions.
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baolyang@tellynai.com