No new workflow to learn.
SpellType works inside the applications employees already use. Employees keep writing normally, without learning prompt-writing or moving work into another AI tool.
Help your team write faster, with autocomplete built around their work.
SpellType predicts useful text where employees write, then brings in business context when the work requires it.
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The existing SpellType app demonstrates the core experience: useful ghost-text suggestions directly inside the tools where people write. For each business, we build on that experience around the applications, context sources, workflows, models, and privacy requirements that matter to the team.
A practical way to bring AI into your business.
Lower cost. More privacy.
SpellType can run entirely on employees' devices. That can avoid hosted-model and per-use inference costs while keeping writing local.
When writing depends on information elsewhere, SpellType can bring that context into autocomplete.
SpellType can work from the draft alone. When the work requires more, relevant conversations, documents, records, and previous decisions can make suggestions more useful while reducing the need to search across systems.
The employee's current draft and relevant business context both inform the autocomplete suggestion.
What the employee has written
The launch remains on schedule.
Relevant business context
- Design approval
- Complete
- Final review
- Booked
- Delivery
- Starts Monday
SpellType autocomplete
The launch remains on schedule. Design approval is complete, the final review is booked, and delivery starts Monday.
Accept it. Edit it. Ignore it.
Employees remain in control of what is written and responsible for the final work.
Your team starts using SpellType while we build.
Working versions reach the team throughout the pilot. Real use guides what we improve and build next.
- Discover the work Understand what the team writes and where effort goes.
- Deliver a useful version Put an initial working capability into the team's hands.
- The team uses it Employees write with SpellType inside the real workflow.
- Observe results and feedback Learn what helps and where the next improvement belongs.
- Improve or extend SpellType Refine prediction, context, applications, and workflow coverage.
Each improvement returns to the team as another working version. The product and its results improve together.
A pilot shaped around the real opportunity.
Every pilot begins with discovery. The scope may cover one workflow, several connected workflows, or a broader part of the team's work. Scope and duration follow the work, not a predefined package.
Built around how your company works
- The work it covers
- Writing applications, context systems, workflows, and the teams involved.
- The experience employees get
- Suggestion behaviour, interaction, company language, roles, and where SpellType stays quiet.
- The setup behind it
- On-device, hosted, private-cloud, hybrid, or customer-managed deployment, with model capability, privacy, and infrastructure shaped around the work.
A simple pilot may take around one month. More involved work may take around three months, while broader or deeper work can extend further. Useful versions are delivered throughout.
Use the inference the work requires.
SpellType does not force every customer into the same model or deployment. We configure the capability around the work.
The final setup follows the work, not a fixed architecture.
Free introductory calls
Your team can write faster. Let’s find where.
Meet SpellType in 15 minutes, or spend 30 minutes exploring where autocomplete and relevant business context could save your team time and effort.
Book a free callFrequently asked questions
What does SpellType for Business do?
SpellType predicts useful text directly inside the applications where employees write. A business version can be shaped around the team's language, workflows, applications, relevant context, models, user experience, privacy requirements, and infrastructure.
Is business context required for SpellType to be useful?
No. Prediction alone can save time and effort whenever employees write. When writing also depends on information elsewhere, relevant business context can make those predictions more useful and reduce searching, application switching, and context reconstruction.
How is SpellType different from an AI assistant or automation service?
SpellType works inside the writing experience instead of asking employees to move their work into another AI destination. It suggests text that the employee can accept, edit, continue, or ignore. The employee remains responsible for what is written.
Which applications and context systems can SpellType support?
A business engagement is scoped around the applications where the team writes and the systems containing useful context. It is not limited by the public SpellType application catalogue. Specific support is confirmed from the customer's workflow and technical requirements.
Is a pilot restricted to one workflow?
No. Discovery is part of the pilot. The resulting scope may cover one workflow, several connected workflows, a wide variety of writing flows, or a broader part of a team's daily work.
When does the team receive something usable?
Working versions reach the team throughout the pilot. Real use guides what is improved or extended next, so the customer sees both the product and its results develop during the engagement.
Does inference have to run on-device?
No. Efficient on-device inference can provide low latency, strong privacy, and low operating costs when it meets the required quality. More capable hosted, private-cloud, hybrid, or customer-managed arrangements can be scoped when the work requires them.
How are privacy and deployment handled?
Privacy boundaries, deployment, model choice, and infrastructure are defined during technical scoping. The goal is the least costly and complex setup that delivers the required quality while satisfying the customer's privacy and latency requirements.
How does a business engagement begin?
Start with a free introductory call. Meet SpellType in 15 minutes, or spend 30 minutes exploring how your team writes and where autocomplete or relevant business context could save time and effort.