Comparison

Syniaps or Make?

A veteran of visual automation (Prague, 2012, bought by Celonis) grafting AI agents onto its scenarios

What Make sells: "The visual AI automation platform": connect any app, data source or AI model, and go "from idea to live automation. Fast." with no server and no code.

Syniaps

4.0 / 5

Make

3.0 / 5

Surveyed on 15 September 2026 from the publisher's public pages, cited at the foot of this page. Offers change: check with the publisher before you decide.

Make at a glance

Who
Formerly Integromat, a Celonis subsidiary
Born in Prague in 2012 as Integromat, bought by Celonis in October 2020 (around $107m) and renamed Make in February 2022; it is a Celonis business unit, with Celonis Inc. in New York as the data controller. More than 400,000 organisations across 200 countries, 350 employees, SOC 2 Type II, SOC 3 and ISO 27001 on the Enterprise offer, and an annual Waves conference in Prague (October 2026).
What
Visual scenarios, AI agents, Maia, Grid
A Scenario Builder (trigger, modules, routers, filters) plugged into more than 3,000 apps and 400 AI apps, complemented by Make AI Agents (LLM agents inserted into a scenario, with tools, sub-agents and context files), Maia (building a scenario through conversation), Make Grid (a map of every automation), Make Code (JavaScript or Python inside a module), an MCP server and client, and an on-premise agent to reach a local network. Everything runs in Make's multi-tenant cloud on AWS, with no self-hosted version.
How it gets set up
A free account, then you build
Immediate self-serve signup (email, Google, Apple, GitHub, SSO), an irreversible choice of the EU or US region when the organisation is created, then you connect each app over OAuth or with a key. After that you build every automation yourself: one scenario per use case, with a trigger, modules, field mapping and a schedule, or through Maia, to whom you describe the need in natural language and whose output you then adjust. An AI agent is configured separately (model, instructions, tools, knowledge files) and has to be placed inside a scenario before it can be triggered.
Which models
Claude, GPT, Gemini, your choice
An in-house AI provider (Make AI Provider, no key needed, billed in credits) on every plan, or your own OpenAI, Anthropic or Google connection on paid plans; the catalogue follows releases closely (Claude Fable 5.1, Opus 5, GPT-5.6, Gemini 3.8 Flash in September 2026). Inference goes to whichever provider you choose, therefore outside the EU, with no step-up mode beyond picking the model per agent.
Price
Free, then $9 to $29 a month
Free (1,000 credits, 2 active scenarios, a 15-minute interval), Core at $9, Pro at $16, Teams at $29 a month billed annually for 10,000 credits (around 15% more monthly), Enterprise by quote; credits are bought on top and scenarios stop once they run out. The credit is the unit: one module executed equals one credit, Make Code costs 2 credits a second, and the in-house AI models convert into tokens per credit (for example 3,616 input tokens per credit on the Large model), plus the tokens billed by the provider if you bring your own key.
Who it is for
Ops and no-code teams with no server
Operations and marketing teams and freelancers who wire SaaS products together and want a ready-made cloud, plus automation agencies that deliver scenarios to their clients. Genuinely strong as the glue between apps with an API, not at a company's deeper work (documents, email, sites without an API).

Point by point

Comparison of Syniaps and Make, criterion by criterion
CriterionMakeSyniapsAdvantage
IntelligenceClaude Fable 5.1, Opus 5, GPT-5.6 and Gemini, chosen per agent, or the in-house provider billed in creditsClaude Sonnet 5, Opus 5, Fable 5, GPT through Codex or the model of your choice; Standard, In-depth and Maximum modesLevel
"Execute"API calls to 3,000 apps, HTTP, JS/Python snippets; no files, no browser, 40 minutes maximumFiles, code, terminal, a browser driven on sites without an API, long-running work, app hostingSyniaps
KnowledgeContext files uploaded by hand into a retrieval store (20 MB, 20 per agent, 50 per team)Synapses built on their own from documents, email and mirrored cloud storage, with OCR and retrievalSyniaps
SetupOne scenario to build per use case; Maia helps, but the human describes, wires and testsA short wizard, then the agent proposes the automations and the human confirmsSyniaps
LearningNone: the agent retains nothing from one run to the next beyond the files you uploadedRetains corrections, skills and preferences, and proposes what it has learnt for approvalSyniaps
SovereigntyAn EU region on AWS, SOC 2 Type II, ISO 27001 on Enterprise; multi-tenant SaaS, a US entity, inference outside the EUA dedicated machine in France, a sandbox per user; AI processed in Europe if the company chooses, but no certificationLevel
Entry and priceFree and immediately self-serve, $9 to $29 a month, but credits and overage to watchA 7-day trial open within minutes, a card with no charge before it ends, from €99 excl. tax a month with AI includedThe alternative
ScopeGlue between SaaS APIs, 3,000 apps, MCP, an on-premise agent, an agency ecosystemA company's deeper work: documents, email, websites, code, missions run by expertsThe alternative

What each one does better

Where Syniaps wins

  • Acts beyond APIs

    A driven browser and captured session cookies make it possible to act on sites without an API, where Make has only the 3,000 apps in its catalogue.

  • Knowledge maintained on its own

    Synapses build themselves from documents, email and mirrored cloud storage, where Make requires you to upload capped context files by hand.

  • Nothing to build

    The agent proposes the automations and the missions itself, whereas every Make scenario remains an object to design, wire and test.

  • Learns from corrections

    Syniaps retains corrections and preferences without being asked; a Make agent starts again from its instructions on every run.

  • A dedicated machine in France

    Each customer has their own OVH machine and a sandbox per user, against a multi-tenant SaaS carried by an American entity under the Data Privacy Framework.

Where Make wins

  • An enormous app catalogue

    More than 3,000 apps and 400 AI apps pre-connected over OAuth, an MCP server and client included for free, and an on-premise agent for closed networks.

  • Free and immediate

    A free plan with no time limit, signup in a minute and paid plans from $9 a month, where Syniaps has no free plan and starts at €99 excl. tax.

  • Maturity and compliance

    Fourteen years in business, 400,000 organisations, SOC 2 Type II, SOC 3, ISO 27001 on Enterprise, SSO, enforceable 2FA, audit logs and a choice of the EU region.

  • Everything is visible

    Every scenario is a readable diagram, every run is logged, the Reasoning panel shows the agent's decisions and Grid maps the whole estate.

  • An ecosystem of providers

    Thousands of certified agencies and freelancers, an Academy, an active community and scenario templates ready to copy.

Two caveats on its promise

  • The AI agents are still in open beta eighteen months on (April 2025, then a new app in February 2026), their price may change, sub-agents only go one level deep and a scenario stops after 40 minutes: "self-directing" comes down to choosing a step inside a scenario the human drew.
  • Credit billing makes cost unpredictable as soon as AI is added: one module is one credit, but Make Code costs 2 credits a second and the in-house models are consumed as tokens per credit, so a 6-step scenario over 1,000 records burns 6,000 credits, more than half a Teams plan.

The ten criteria, scored and justified

Intelligence

Frontier models (Claude, GPT, Gemini) and ways to step up a gear

Syniaps 5/5

Claude Sonnet 5, Opus 5 and Fable 5, GPT through Codex, or the model of your choice; Standard, In-depth and Maximum modes.

Make 4/5

Claude Fable 5.1, Opus 5, GPT-5.6 and Gemini 3.8 are available per agent, with your own key on paid plans, but with no step-up mode and no orchestration beyond one level of sub-agent.

Execution power

Actually acts: files, code, browser, sites without an API, long-running work

Syniaps 5/5

Files, code, terminal, a browser for sites without an API, long jobs in the background, hosted apps.

Make 2/5

An agent only acts through the catalogue's API modules, HTTP requests and JS/Python snippets; no file system, no driven browser, nothing for sites without an API, and a run capped at 40 minutes (60 on Enterprise).

Company knowledge

A base built and maintained on its own from documents, email and cloud storage

Syniaps 4/5

Synapses built by the agent, OCR, a full cloud mirror; still young on very large volumes.

Make 2/5

The only memory is a retrieval store fed by files uploaded by hand (20 MB per file, 20 per agent, 50 per team), with no cloud mirror, no email reading and no base built or maintained on its own.

Zero setup

Nothing to brief, trigger or tick; the tool proposes, the human confirms

Syniaps 4/5

A short wizard, and the agent proposes its automations in conversation; site connections still have to be made once.

Make 2/5

Maia generates a scenario from a description, but the human still has to describe, connect each app, adjust, test and schedule; nothing is proposed spontaneously and an agent must be placed inside a scenario to live.

Continuous learning

Remembers corrections and preferences without being asked to

Syniaps 4/5

Corrections, skills and preferences are retained and proposed for approval; no learning across customers yet.

Make 1/5

No mechanism at all: an agent restarts from its instructions on every run and retains neither corrections nor preferences, beyond whatever you add to the context files yourself.

Autonomy

Missions and automations server-side, computer switched off, human approval on sensitive moves

Syniaps 4/5

Missions and scheduled actions run server-side with your computer off, with approval cards; mission ceilings still need tuning.

Make 4/5

Scenarios run server-side, scheduled or on an event, with the computer off, and scenario resume has existed since March 2026; but there is no built-in human approval on sensitive moves and no end-to-end mission beyond a time-bounded scenario.

Integrations and connections

Everyday tools, MCP, cloud storage, email, sites without an API

Syniaps 4/5

Email, cloud storage, meetings, WhatsApp, LinkedIn, MCP, sites without an API; fewer native connectors than a Zapier.

Make 4/5

More than 3,000 apps, 400 AI apps, an MCP server and client included, MCP toolboxes, an on-premise agent and the Make CLI; only access to sites without an API and to local files is missing.

Sovereignty and security

EU hosting, per-customer isolation, EU or on-premise inference, certifications

Syniaps 3/5

A dedicated machine in France (OVH), strong per-user isolation and AI processed in Europe if you choose; no on-premise option and no certification.

Make 3/5

A selectable EU region on AWS, SOC 2 Type II, SOC 3, ISO 27001 on Enterprise, AES-256 encryption, SSO and enforceable 2FA; but a multi-tenant SaaS, Celonis Inc. in the United States as controller, unnamed subprocessors and inference at OpenAI, Anthropic or Google.

Teamwork

Shared spaces, roles, delegation, company-wide memory

Syniaps 4/5

Company sources connected once, shared synapses, role profiles, shared skills and conversations, shared mailboxes in missions; no SSO and no fine-grained roles.

Make 4/5

Organisations and teams, custom roles from Teams up, agents shareable in an organisation library, audit logs and spending limits on Enterprise, but no shared company memory and no per-user key delegation.

Price and access

Total cost (tool + AI + machine) against what you get, and how easily you start

Syniaps 3/5

A dedicated machine, AI included and a 7-day trial that opens within minutes, from €299 excl. tax a month; a card is required for the trial and there is no free tier.

Make 4/5

A permanent free plan, immediate signup, $9 to $29 a month for 10,000 credits, which also pay for the AI; the credit does, however, make the cost of AI and code unpredictable and stops scenarios once exhausted.

Verdict

Automation you build against an intelligence that works on its own

Make

Make connects a company's applications through visual scenarios that you build, with AI agents inserted as an option.

Natural fit: ops and marketing teams, freelancers and agencies that want to wire SaaS products together with no server, on a budget of a few tens of dollars.

Syniaps

Syniaps already knows the company and runs missions end to end on its files, its email and its websites, with nothing to draw.

Natural fit: leadership and teams with deeper work to hand over (documents, prospecting, legal, finance, development) on a machine of their own.

Make is not a head-on competitor but a connector Syniaps can absorb or drive.

Do not fight on the app catalogue or on entry price; instead expose Make's MCP server as one more connector inside Syniaps, so the agent can trigger a customer's existing scenarios without rebuilding them. On the website, set "a scenario to build" plainly against "a mission handed over is a mission finished", and document a migration case from Make.

Try Syniaps for 7 days

Public sources (29)

Make is a trademark of its publisher, cited here for the purpose of objective comparison. Syniaps is neither affiliated with nor a partner of that publisher. Found an error in this comparison? Write to us at [email protected] and we will correct it.

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Syniaps or Make? The comparison on 10 criteria