Porównaj z
Stilla
Stilla puts an AI teammate to work inside your tools. In Parallel keeps the whole organisation aligned on whether that work is on track.
Where Stilla automates the doing, In Parallel keeps the shared record of what was decided and who owns it.
In Parallel isn't another meeting or project tool — it's the AI context layer: it gives the AI you already use your team's decisions, with the source behind every answer. Choosing an AI context layer →
Jakie są kluczowe różnice?
From an AI that does tasks to a record that keeps the work honest.
From doing the work to seeing the whole picture
Stilla is built to act -- draft a PR, write an issue, post an update, edit a doc. That removes busywork for individual contributors. In Parallel is built to give leadership a single, current view of execution across every team. It is less about completing the next task and more about answering "is this on track?" without chasing anyone.
From team-level automation to organisation-wide coordination
Stilla lives where product and engineering teams already work -- Slack, Linear, GitHub, Notion. In Parallel connects what happens across every function -- engineering, marketing, operations, leadership -- into one shared record, so coordination does not stop at the edge of a single team's toolset.
From shared memory to a structured record
Stilla maintains a shared memory of conversations and decisions so its agent has context. In Parallel turns that same raw material into a structured record (decisions with a status, owners, risks, and dependencies) that humans can read at a glance, and into workspace pages that update after each meeting.
From task execution to execution intelligence
An agent that completes tasks is only as useful as the context it works from. In Parallel is that context. It captures decisions from meetings, keeps open risks and questions visible until they are resolved, and serves the record over MCP to Claude, ChatGPT, Copilot, Cursor or your own agents.
Kiedy wybrać Stilla
- You want an AI agent to execute individual tasks across your tools
- Your team lives primarily in Slack, Linear, GitHub, and Notion
- Automating hands-on product and engineering work is the priority
- You need an AI teammate that drafts PRs, issues, and updates
Kiedy wybrać In Parallel
- You need one record of decisions and owners across every team and tool
- Managers and executives need real-time visibility into whether work is on track
- Coordination has to span functions, not just product and engineering
- Capturing decisions from meetings and keeping that record current matters more than automating tasks
Najczęściej zadawane pytania
Is In Parallel an AI agent like Stilla?
They solve different problems. Stilla is an AI teammate that executes tasks -- drafting PRs, writing issues, posting updates -- across your tools. In Parallel is an execution intelligence layer: it captures decisions from meetings, keeps a shared record of decisions, owners and risks, and gives leadership a real-time view of whether work is on track. One does the work; the other keeps everyone aligned on it.
Does In Parallel execute tasks across my tools the way Stilla does?
No. In Parallel’s focus is coordination and visibility, not acting as a hands-on agent. It keeps the record of what was decided and serves it over MCP, and agents can write corrections back, such as updating a decision’s status or resolving a risk. It does not complete individual pieces of work for you.
Can In Parallel and Stilla work together?
Yes. Stilla can automate hands-on work inside your stack while In Parallel keeps the shared record and leadership visibility on top. They operate at different layers -- task execution versus execution intelligence.
Who is In Parallel built for compared to Stilla?
Stilla is aimed at product and engineering teams who want to remove coordination overhead from their day-to-day. In Parallel is built for managers and executives who need to see reality across every team -- without chasing status or checking another dashboard.
Płać za wiedzę, nie za ludzi.
41% tygodnia pracy pochłania koordynacja. In Parallel oddaje Ci ten czas.
Plany
Professional
€29
za użytkownika / miesiąc
120 Knowledge Units na użytkownika dziennie. Dla zespołów poniżej 50 użytkowników: notatki ze spotkań, czat, strony i przestrzenie robocze.
Business
€69
za użytkownika / miesiąc
250 Knowledge Units na użytkownika dziennie. Dodaje udostępnianie: daj ludziom dostęp do przestrzeni roboczej, z ustalonymi uprawnieniami do tego, co mogą zobaczyć. Do 5 integracji z aplikacjami. Automatyzacje, gdy zostaną udostępnione.
Enterprise
Indywidualnie
Jedna cena roczna, fakturowana z góry. Od 50 użytkowników, cała firma na jednej umowie: nielimitowane integracje z aplikacjami, SSO i dedykowany opiekun.
Skontaktuj się z naszym zespołem sprzedaży →Na życzenie
Indywidualnie
Dedykowana chmura w UE, on-premises i usługi profesjonalne
Współdzielona chmura w UE jest standardem i jest wliczona w cenę. Wdrożenie, szkolenia i dedykowany opiekun są zawsze wliczone.
Skontaktuj się z naszym zespołem sprzedaży →- Rozliczenie miesięczne po cenie cennikowej, z możliwością rezygnacji w każdym miesiącu — albo przedpłata za rok i 20% taniej.
- Jeden plan dla całej firmy: przejście na wyższy plan obejmuje wszystkich. Każdy użytkownik, który się loguje, ma stanowisko, także klienci dodani do przestrzeni roboczej; agenci AI go nie potrzebują.
- Zapytania z Twoich własnych narzędzi AI przez MCP są bezpłatne w ramach uczciwego użytkowania. Gdy pula się wyczerpie, automatycznie dodawane są doładowania 1000 KU za 250 €, do limitu ustalonego przez administratora.
Know if the work is on track.
See how In Parallel turns every meeting into a decision record your leadership can trust. 30-minute demo.