Cut global operating costs and reach more markets
JotMe enables the world’s best enterprises to communicate directly across languages with accurate translation, test local markets, and scale proven workflows into multilingual AI operations.
Evaluate the communication platform or discuss enterprise services with JotMe.
Company context
Join 500,000 of the world’s most capable global professionals
Communicate directly, with the context behind the words
Enable headquarters, local teams, clients, and partners to work directly across languages. Keep product knowledge, company terminology, and the reasoning behind business decisions in the conversation.
Reduce translation relays and repeated explanations across regions, so specialists and local teams can move decisions and delivery forward.
Headquarters ↔ Local teams ↔ Clients
- Bring context
- Product knowledge, terminology, and the reason behind the work
- Connect directly
- Conversations across languages with fewer translation relays
- Carry forward
- Customer questions, local feedback, and decisions
Test local markets with company knowledge
Take a headquarters product or feature launch into local markets. Use company positioning, customer feedback, and previous results to test the message against local needs, alternatives, and buying habits.
JotMe works with enterprise teams to set up AI agents that use company and work context to run repeated market experiments, from articles and ads to landing pages. Test variations at scale in a controlled environment, capture what works, and carry the learning into the next launch.
Test repeatedly. Scale what works
- Set the context
- Company knowledge, local market insights, and clear success criteria
- Run and repeat
- AI agents test articles, ads, and landing-page variations in a controlled testing environment
- Learn and scale
- Feed results into the next round, expand testing, and scale proven workflows
Turn what works into a repeatable multilingual operation
Turn proven processes into multilingual operations run by AI agents. Company context and evidence from local tests guide the workflow, with automation scope and review points defined with the teams responsible.
Reuse the workflow and its learning across product launches, feature releases, and markets. Local teams adapt a proven starting point instead of repeating the same manual setup.
Proven work, ready for the next launch
- Build on
- A tested process and the evidence behind it
- Automate
- Repeatable multilingual steps with agreed team review
- Reuse
- The workflow and its learning for the next release or market
Communicate. Test. Scale
Company context connects every step.
Communicate directly
Connect headquarters, local teams, and clients across languages with shared company context.
Test at scale
AI agents run repeated market experiments in a controlled environment and capture what works.
Automate proven work
Scale successful workflows across launches and markets, carrying the learning forward.
Each cycle strengthens the next
Connect global teams. Test local markets. Scale what works. Every result builds the company context behind the next launch.
Define the starting pointCommunicate directly
Connect teams and clients across languages
Test local markets
Run AI experiments and capture what works
Scale proven workflows
Reuse successful operations in the next launch
Move work forward across teams
Carry company knowledge between the people doing the work.

Headquarters and local teams
Discuss priorities and local constraints directly across languages, with the company terminology and background behind each decision.
Discuss this workflow
Local clients and partners
Let the people with product and customer knowledge answer questions directly, reducing language-dependent handoffs.
Discuss this workflow
Product and feature launches
Use company positioning and previous results to test a launch locally, then capture the evidence and adapt the rollout.
Discuss this workflowTrusted by 2,000 teams
Across 134 countries
From multilingual meetings to everyday teamwork. Hear from the people using JotMe.
What does JotMe provide for enterprises?
JotMe provides three connected enterprise services: communication across languages, local market experiments, and automation of proven workflows with AI agents. Company context connects product knowledge, terminology, local results, and operational processes. Delivery is scoped with the enterprise teams responsible.
Why is company context the engine?
Communication, market experiments, and agent workflows all depend on an understanding of the business. Products, terminology, positioning, customer feedback, and previous decisions provide that foundation. Local market results enrich the context used for subsequent launches and operations.
How does JotMe connect headquarters, local teams, and clients?
JotMe enables direct communication across languages with the product knowledge, company terminology, and project background needed for the discussion. This reduces reliance on translation relays and repeated explanations while keeping decisions with the teams responsible.
What company context is needed?
Product and service knowledge, terminology, positioning, customer insights, launch history, and existing workflows form the starting point. Campaign results, customer feedback, and sales objections add operational evidence. Knowledge sources, access, and information-handling requirements are defined during scoping.
Can an enterprise start with a focused market experiment?
Yes. Enterprise teams and JotMe define the audience, hypothesis, budget, testing environment, and success criteria. AI agents use company and work context to run variations across articles, ads, or landing pages. Results guide the next round of testing and the decision to scale.
Can this support product and feature launches in existing markets?
Yes. The headquarters launch brief, product knowledge, and existing customer insights inform local testing. Local teams capture market responses and adapt the rollout, building a reusable process for subsequent releases.
When does an experiment become an operational workflow?
Once evidence supports a repeatable process, JotMe and enterprise teams define the agent tasks, required context, connected systems, and review points. Proven steps become a workflow that can be reused and scaled across launches and markets.
What do AI agents execute, and what do enterprise teams control?
Within the agreed scope, agents prepare local variations, run repeated experiments, analyze results, and execute repeatable multilingual workflow steps. Enterprise teams set strategy, budgets, access, and review requirements. Specific integrations and automation are defined during scoping.
How does each launch build on previous results?
Company knowledge, local responses, decisions, and proven workflows form the starting point for the next launch. Local teams adapt an established process rather than reconstructing it manually. New products, audiences, and countries still require local assumptions to be tested.
How can this reduce global operating costs?
Direct communication reduces language-dependent handoffs and repeated explanations. Reusable context and agent workflows reduce duplicated research and manual setup across launches. Coordination time, delivery effort, and workflow costs are evaluated against the enterprise’s existing process.
What is included in the free platform trial?
Start for free opens the JotMe platform for translation and collaboration. Enterprise services, company-context setup, market experiments, and agent workflows are scoped separately with JotMe. Knowledge sources, integrations, pricing, and delivery are defined around enterprise requirements.
How does an enterprise engagement begin?
Start with a communication bottleneck, local launch, or repeatable workflow. Enterprise teams and JotMe review available company context, operational goals, and evaluation criteria, then define the initial scope and commercial requirements.







