KaideraA product-level map of the systems that coordinate AI workers, preserve context, route models, apply steering, verify work, and keep humans in control.
Five specialized AI workers with clear roles, skills, and boundaries. The story starts with the team, then shows how work moves through orchestration, memory, review, and delivery.
Lead -> CPO
Master Orchestrator
Backend Engineer
Frontend Engineer
Knowledge Keeper
PROMI watches the project event stream, routes work, manages structured handoffs, schedules follow-up, catches drift, and escalates when human judgment is needed.
Cortex is where the AI worker team stays aligned: shared memory, live project communication, structured handoffs, behavioural steering, guardrail evidence, and boot context.
AI workers pick up prior context without asking users to restate it
Status, decisions, and handoffs move through one project stream
Rules and roles are available where AI workers actually work
Evidence and approvals are connected to the action they protect
Work transfers with summary, owner, next step, and supporting evidence
Each session starts with the right briefing, not a blank page
Cortex memory is the second page of the Cortex story: it explains how decisions, lessons, artifacts, handoffs, and communication become usable context for the next session.
Compact briefing that gives each session identity, critical facts, recent history, and next work.
Screenshots, diagrams, documents, files, and evidence linked back to the work that created them.
People, systems, decisions, concepts, and relationships connected into a project map.
Code relationships, callers, impact, and review context so changes are not made in isolation.
Meaning-based retrieval across lessons, decisions, knowledge, messages, and artifacts.
The exact source record: decisions, lessons, knowledge, messages, handoffs, tasks, and artifacts.
Once Cortex remembers the work, it connects the work: people, systems, files, requirements, decisions, risks, and evidence become a relationship map AI workers can use.
Cortex links business context so future workers understand what each item affects.
Knowledge can be reused because it remains attached to source decisions and artifacts.
Organization rules, AI worker identities, and task-level controls shape behaviour before output is generated. Steering makes worker output predictable without asking users to manage prompt internals.
Identity files, role constraints, team hierarchy
Task context, phase awareness, skill templates
Runtime triggers, circuit breakers, escalation
Every task follows the PREVC protocol — five phases with verification gates. AI workers prepare, research, execute, verify, and commit with evidence instead of improvising from a single prompt.
"Here's some code, good luck"
Structured phases with verification gates
The harness gives AI workers a controlled workspace: approved tools, clear permissions, evidence capture, rollback points, and review gates before work moves forward.
What the AI worker can work on and what stays out of bounds
Only approved capabilities are available for the task
Screenshots, tests, notes, and files stay attached to the work
Human approval remains the promotion gate for important changes
Model options come from admin and provider configuration, including managed providers and BYOK. Different AI workers can use different reasoning, coding, vision, voice, and embedding capabilities as the platform evolves.
Assign primary + fallback models to each AI worker based on role
Use premium models for critical tasks, efficient models for routine work
The platform routes work by task type, model capability, provider health, cost profile, and customer configuration across reasoning, code, vision, voice, embeddings, and managed model programs.
Preferred model first
Lowest cost per token
Best capability match
Fastest response time
For unique or regulated use cases, Kaidera can deliver managed fine-tuning, training data preparation, dedicated endpoints, reserved or on-demand GPU/TPU capacity, geographic controls, and isolated model deployments through approved partners.
Shape training and evaluation sets from approved examples, policies, terminology, and review notes.
Specialise a model around your documents, workflows, decisions, and quality expectations.
Plan dedicated GPU or TPU capacity for predictable throughput, evaluation, and production use.
Use on-demand compute for experiments or isolated deployments where enterprise policy requires it.
Every skill goes through a five-stage vetting pipeline before it can be used. Parsed, audited, sandboxed, approved by a human, then published to the Kaidera Skills Marketplace.
Every skill is vetted, sandboxed, and version-controlled. Open source on GitHub. No blind plugin installs. No supply chain risk.
A self-hosted whiteboard for architecture sketches, process maps, and shared project diagrams. Built on the brilliantExcalidrawopen-source project, integrated with Kaidera project access and secure vault storage.
Publish a temporary production-like environment when the work is ready to inspect. Test it, demo it, capture evidence, then promote it or let the review environment expire.
A controlled review environment gives users a working version to test or demonstrate, then it expires when the review window closes.
Data protection, human approval, audit evidence, cybersecurity review, managed model programs, and enterprise deployment choices are part of the platform design.
Beyond the five core AI workers, configure bespoke workers for any domain-specific job. Start from one of four pre-built Business Process Templates (IDP, Requirements Analysis, Predictive Analytics, Dev Request Handler) or build from scratch with 9 configuration knobs. MCP Server Registry connects external tools to any worker.
The same platform intelligence that powers Keith, Sophi, and Marv is available to any AI worker you configure. Same memory. Same steering. Same human-in-the-loop controls.
Pre-paid credits with hard stop at $0. Per-model token metering. Itemized invoices. Auto top-up with safety limits. No surprise bills, ever.
Human reviewers are first-class routing outcomes in Kaidera. Seamless AI-to-human escalation with SLA enforcement, context preservation, and automatic resume.
VS Code extension, MCP Server Registry, and an OpenAI-compatible API — use your Kaidera workers directly from your favourite IDE and tools. More integrations coming soon.
We're onboarding select B2B teams for early access. Tell us about your company and we'll be in touch.
Register for Early Access →