AI helps assemble the best team for each brief, while the platform keeps collaboration, delivery, payments, analytics and future team relationships connected. Build the right team for any project, then run the work in one place.
Collty gives remote specialists access to new projects and client requests where companies can search not only for one expert, but for a complete team ready to work.
Describe the project and Collty uses AI to connect available specialists, compare team options and quickly assemble a remote lineup that fits the scope, skills and delivery context.
Companies, agencies and teams can create project maps with AI, define phases and tasks, add internal or external teams, calculate cost and move the work into execution.
The engine starts with professional profiles and real collaboration signals: skills, services, project history, availability, languages, markets, trusted connections, previous teamwork and dozens of other parameters. Vector search narrows the candidate field, then AI and Collty ranking logic assemble a team that fits the task, not just the keywords.
Profiles, roles, services, case signals, industries, markets, availability and collaboration data are searched first, so the AI layer works with relevant candidates instead of guessing.
Collty evaluates the project context, required roles, workload, budget logic, gaps and team composition to create a precise lineup for the task.
The engine learns from connections, previous collaboration, project outcomes and trusted signals, so a team is judged as a working system, not just a list of profiles.
For companies that need to assemble a team, approve specialists, launch projects and manage delivery in one operating layer.
For ready teams, studios and agencies that manage client projects, maintain team lineups, hire additional capacity and use AI back-office tools.
For individual professionals and users. Profiles, availability, expertise, collaboration signals and project participation start here.
Collty Signals connects professional knowledge with team creation: people publish project signals, ask for advice, share know-how and find collaborators, while useful replies and trusted conversations become part of the Collaboration Graph for future team assembly.
For startups & enterprises
For teams & agencies
Flexible and transparent by design
An hour-based model allows teams to be engaged flexibly, with individual specialists scaled up or down as needed. This enables fast team scaling without friction or long-term commitments.
Agile planning with weekly sprints enables iterative delivery and payment, keeping projects manageable, flexible and transparent.
Clear, predictable pricing based on actual hours worked. It makes budgeting, planning, and managing projects simple for both clients and teams. Each week is structured with defined scope and tracked progress, allowing adjustments to be made quickly without disrupting the overall project flow.
Simpler way to run projects
Our AI Assistant, powered by LLM, helps you quickly configure the optimal team setup for your specific project. By understanding your goals, tasks, and constraints, the assistant recommends the right mix of roles, adjusts required hours, and suggests an efficient workload distribution tailored to your project scope.
An extended AI assistant for partners, designed for team and project management, is currently in development and will be available in 2026.
The AI Assistant will support project execution by monitoring progress, identifying potential bottlenecks, and recommending adjustments in real time. It enables teams to stay aligned, allocate resources more effectively, and maintain control over delivery at every stage.