For developers

Ship the AI feature, not the plumbing

Every AI feature needs the same groundwork before anyone sees it: logins, permissions, a record of what happened, memory and a safe place to run code. Sinas has all of it ready, so product teams get to market sooner and engineers spend their time on the part users actually notice.

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Sound familiar?

Whether you own the roadmap or write the code, you have probably thought at least one of these. Here is how Sinas takes it off your plate.

Our AI feature has been "almost ready" for months.

With sinas

The groundwork is done before you start: logins, permissions, logging and memory come with the platform, so the team works on the feature from day one.

Our AI feature has been "almost ready" for months.

With sinas

The groundwork is done before you start: logins, permissions, logging and memory come with the platform, so the team works on the feature from day one.

I cannot promise customers their data is safe with an AI feature.

With sinas

Agents only see the data and tools you grant them, checked on every call, and every run is recorded. That is something you can show a customer or a security review.

I cannot promise customers their data is safe with an AI feature.

With sinas

Agents only see the data and tools you grant them, checked on every call, and every run is recorded. That is something you can show a customer or a security review.

I am not handing an agent my database and hoping it behaves.

With sinas

Agents reach your data through reviewed queries and tools you grant one by one, checked when they run, so an agent never does more than the person calling it.

I am not handing an agent my database and hoping it behaves.

With sinas

Agents reach your data through reviewed queries and tools you grant one by one, checked when they run, so an agent never does more than the person calling it.

Switching model vendor means rewriting half the product.

With sinas

The model is a setting per agent: OpenAI, Anthropic, Mistral or a local model through Ollama. Change it for cost, quality or data reasons without rebuilding.

Switching model vendor means rewriting half the product.

With sinas

The model is a setting per agent: OpenAI, Anthropic, Mistral or a local model through Ollama. Change it for cost, quality or data reasons without rebuilding.

What it changes on your roadmap

Sinas is infrastructure, but what you notice is in your planning: less waiting on groundwork, more control over what the AI does and costs.

Faster to first release

Start on the feature itself instead of the platform underneath it. A first version can be in users’ hands in weeks, not quarters.

Faster to first release

Start on the feature itself instead of the platform underneath it. A first version can be in users’ hands in weeks, not quarters.

Control over cost and quality

Pick the model per agent and change it later. Use a large model where it matters and a smaller one where it is good enough.

Trust you can demonstrate

Permissions on every call and a full record of every run give you clear answers for customers, legal and security.

Less to maintain

Logins, permissions, logging and queues are kept up to date in the platform, not rebuilt and patched by your team for every new feature.

Included from day one

The groundwork that has to exist before any AI feature is real. Nobody demos it and no user thanks you for it. Here it ships with the platform.

Access and trust

Logins and access

People and systems sign in securely, and every API key only gets the rights it needs.

Password or email code, JWT refresh, scoped API keys

Permissions that follow the user

An agent can never do more than the person who asked it.

Checked when a tool runs, not when it is offered

A record of everything

See what every agent did, with what input, and what came out.

Execution history with nested calls as a tree

Data and memory

Connected to your data and systems

Agents reach your databases and tools through connectors and reviewed queries you grant one by one.

OpenAPI connectors, parameterised SQL on PostgreSQL, ClickHouse or Snowflake

Memory between conversations

Agents remember context between conversations, kept separate per user or team.

Namespaced key-value state, TTL, per-record encryption

Files and documents

Upload, version and validate documents before an agent uses them.

Versioned collections, JSON Schema metadata, ingest hooks

Running the work

Schedules and webhooks

Run an agent every night, or the moment something happens in another system, not only from a chat.

Cron schedules, inbound webhooks, database change triggers

Running at scale

Large batches and busy moments are handled without dropping work.

Redis queues, retries, dead letter queue, batches up to 1,000

A safe place to run code

Your Python functions run in a locked-down container, away from your systems.

Pre-warmed containers with hard memory, CPU and time limits

What happens when you want to leave

Worth knowing for product owners and engineers alike, before you start rather than after. The answer is the same whether you leave in a month or in three years.

Your configuration is a file

Every resource can be exported as YAML and applied to any other instance, idempotently.

Cloud runs the public code

There is no proprietary fork behind the managed service, so moving off it is a deployment, not a rewrite.

Cloud runs the public code

There is no proprietary fork behind the managed service, so moving off it is a deployment, not a rewrite.

Your application code is untouched

Building on Sinas does not put an AGPL obligation on what you write against it.

Your application code is untouched

Building on Sinas does not put an AGPL obligation on what you write against it.

The awkward cases have an answer

Embedding or redistributing Sinas needs the commercial licence, and it exists precisely so that is possible.

The awkward cases have an answer

Embedding or redistributing Sinas needs the commercial licence, and it exists precisely so that is possible.

Get started

Start on Cloud, or start with the code

Start free on Sinas Cloud, or run it on your own infrastructure. Same platform, same configuration, so you can switch whenever you want.

Open source. Deploy in minutes.
No vendor lock-in.

Start free on Cloud

Clone the repo