Make vs osFoundry mirrors the Zapier question — visual automation vs AI orchestration — with Make’s strength being more powerful flow logic. For an Indian company, residency and pricing model shape the call. Here’s the grounded view. (dgm implements osFoundry, a separate company’s platform — dgm is an independent integration partner, not osFoundry, and does not resell Make.)
At a glance
| Make | osFoundry | |
|---|---|---|
| Core | Visual automation, 3,000+ apps, branching logic | AI-first orchestration (routing, agents, apps) |
| Pricing | Credits; Free / Core ~$9/mo / Pro ~$16 / Teams ~$29 | Usage-based, no per-seat fee |
| Self-host / India residency | SaaS (EU/US); Enterprise on-prem agent only → weak-moderate | Self-host in India cloud account → strong |
| Models | Limited model control | BYO key across providers + open models |
(Make facts per make.com/en/pricing; osFoundry per osfoundry.io. Confirm current details with each vendor.)
Where Make wins
Make’s visual scenario builder is arguably the most powerful of the no-code automation tools — routers, iterators, error handling and granular branching across 3,000+ apps, at credit-based pricing that’s often cheaper than per-task tools at comparable volume. For complex, branching automation, Make is excellent.
Where osFoundry fits
osFoundry is AI-first — the AI reasoning, routing, agents, knowledge bases and internal apps are the product, with bring-your-own-key. When the centre of the work is AI, osFoundry is the stronger base, and it can sit alongside Make (Make for plumbing, osFoundry for the AI layer). It’s younger with limited independent coverage, so validate it (dgm’s role).
Pricing and the India residency gap
Make uses a credit model (Core ~$9, Pro ~$16, Teams ~$29/month) — flexible and economical. osFoundry is usage-based with no per-seat fee. On residency, Make is primarily SaaS (EU/US data centres, owned by Celonis) with only an Enterprise on-premises execution agent — not a full self-hosted platform — so India data control is limited. osFoundry can be self-hosted in your own India cloud account (see AI data residency in India), which matters under the DPDP Act.
How dgm helps
dgm implements osFoundry for Indian businesses as the AI layer — with India residency via self-hosting — and integrates it with automation tools like Make where that’s the right design. Transparent pricing: $399 assessment, $3,999/month implementation, no per-seat fees (INR approximate; 18% GST for domestic clients). Explore the platform at osFoundry, or talk to dgm about the right automation-plus-AI design.
General information, not legal advice. Vendor pricing and residency options change — verify at the time you evaluate.