Why not just buy an off-the-shelf AI tool?

A product encodes one opinion about how the work should be done. Where your process differs, the gap becomes permanent manual effort. We start from your process instead.

How long until something is in production?

Two to three weeks to a documented architecture, then four to six to a first increment running in shadow mode against real data.

Where does our data go?

Wherever you decide — your cloud account or ours, with region and retention as explicit decisions. We do not train models on your data, and every system ships with an audit log.

Yes. Source lands in your repository from the first commit, with the architecture docs, evaluation suite and runbooks. Taking it in-house later requires nothing from us.

Discovery and architecture are a fixed fee. Build work is quoted as fixed-scope phases, so you approve cost per phase rather than signing an open-ended commitment.

One of our systems has no API. Can you still connect it?

Usually, yes. Options in order of preference: a direct database connection, a scheduled file exchange over SFTP, a vendor export we normalise, or — last resort — driving the interface itself. We will tell you plainly which one applies and what it costs to maintain, because the maintenance burden differs enormously between them.

Why not use Zapier, Make or Workato?

For simple, low-volume connections between two popular SaaS tools, those are genuinely the right answer and we will say so. They struggle when you need custom conflict resolution, high volume, transactional guarantees, an unsupported legacy system, or per-record auditability. That is the point at which engineered integrations cost less than fighting the platform.

Who owns the integration once it is built?

You do. Source lives in your repository from the first commit, with documentation, contract tests and a runbook. It deploys into your environment, and if you later bring it in-house or hand it to another partner, everything needed to do that is already yours.

What happens when a vendor changes their API?

Contract tests run against each external system on a schedule and in CI, so a changed or removed field fails a build rather than corrupting data quietly. Vendors also publish deprecation notices we track. The result is that migrations become planned work instead of an incident.

How do you handle sensitive data crossing systems?

Fields carrying personal or financial data are identified during mapping and treated explicitly — encrypted in transit and at rest, redacted from logs, and excluded from any system that does not need them. Access is least-privilege and every transfer is logged with its purpose.

How long does a typical integration take?

A well-documented modern API with a clear mapping is usually one to two weeks including tests. Legacy systems, unclear ownership of data, or two-way sync with conflict resolution take longer — and the architecture phase gives you a fixed-scope estimate per integration before any build starts.

What we buildIntegrations

Intelligence delivered inside the tools your team already has open

An AI feature nobody opens is worth nothing. The work that decides whether a project lands is unglamorous: authentication, field mapping, rate limits, and staying correct when a vendor changes an API without telling you.

Review your systems with us How it works

Integration map — diagram

public/integrations/map.png

How they are built

Every interface: Versioned; Changes ship behind a version. Nothing breaks the moment we deploy.
At every boundary: Tested; Contract tests against each external system, run on every change.
By default: Observable; Latency, error rate and throughput per integration, visible from day one.
Undocumented scripts: 0; No integration depends on one person remembering how it works.

01What integration actually involves

The connector is the easy part

Reading a record from an API takes an afternoon. Keeping two systems agreeing for three years, through token rotations, schema changes and rate limits, is the actual engagement.

Integration Layer

Contract-tested · Observable

What we connect

Anything with an API — and the systems without one, which is usually where the real friction is.

CRM and sales: Salesforce, HubSpot, Dynamics, Zoho, Pipedrive — including your custom objects and fields.
ERP and finance: SAP, NetSuite, Dynamics, Xero, Tally, QuickBooks and the reporting built around them.
Support and operations: Zendesk, Freshdesk, Intercom, ServiceNow, Jira, plus warehouse and logistics platforms.
Legacy and internal: On-premise databases, SFTP drops, fixed-width files, and the internal tool nobody has touched in years.

What we handle so you do not

The parts that make an integration survive contact with production and with time.

Authentication and rotation: OAuth flows, service accounts and token refresh, so nothing expires quietly at 3am on a Sunday.
Rate limits and backpressure: Queuing and throttling per vendor, so a burst degrades gracefully instead of being rejected.
Field mapping and validation: Explicit, reviewable mapping between schemas, with type validation before anything is written.
Backfill and reconciliation: Historic data loaded once, then drift between systems detected and reported continuously.

02How an integration is delivered

Mapped and tested before it touches live data

01
Mapped
Every field, object and edge case documented and agreed — including which system wins a conflict.
02
Authenticated
Least-privilege credentials scoped to exactly what is needed, with rotation handled automatically.
03
Proven in sandbox
Built against test instances with contract tests, so failures happen before real records are involved.
04
Backfilled
History loaded and verified against source counts before continuous sync is switched on.
05
Synced
Incremental, idempotent updates in near real time, with conflicts resolved by the rules you set.
06
Watched
Drift, error rates and latency monitored, with alerts before anyone downstream notices a problem.

03The hard parts

Why integrations rot, and what stops it

Almost every integration works on the day it ships. These six are what determine whether it still works two years later.

01
Schema drift
Vendors add, rename and deprecate fields on their own schedule. Contract tests catch a changed response in CI rather than in your data three weeks later.
02
Rate limits
Hit a limit mid-sync and naive code drops records silently. Requests are queued and throttled per vendor, and a backlog drains rather than disappearing.
03
Duplicate writes
Retries are unavoidable, so writes are keyed and idempotent. A repeated call updates the same record instead of creating a second one.
04
Conflicting truth
When two systems disagree about the same customer, someone has to decide which wins. That rule is defined during mapping and enforced in code, not left to timing.
05
Credential expiry
Tokens expire, service accounts get disabled, certificates lapse. Rotation is automated and expiry is monitored, because this is the most common cause of a 3am outage.
06
The bus factor
Bespoke scripts that only one person understands are a liability. Everything is versioned, documented and tested in your repository, with a runbook.

04Where it earns its place

Wherever your data is currently moved by a person

The candidates are easy to spot: someone exports a CSV on a schedule, or two teams argue about whose system is right.

AI inside your CRM
Summaries, next actions and enriched records where reps already work, not in a separate tool.
Support with full context
Order, account and usage history pulled into the ticket before an agent opens it.
Warehouse and data platform
Operational data landed in BigQuery, Snowflake or Postgres for reporting that reconciles.
Legacy system bridges
A modern API wrapped around a system that has none, so everything else can finally talk to it.
Vendor and partner feeds
Inbound files and APIs normalised, validated and loaded without a person babysitting them.
Two-way sync
Records kept consistent across systems, with conflict rules that reflect how you actually operate.

Screenshot — in context

public/integrations/screen-1.png

Screenshot — result

public/integrations/screen-2.png

05FAQ

What teams ask before they commit

Usually, yes. Options in order of preference: a direct database connection, a scheduled file exchange over SFTP, a vendor export we normalise, or — last resort — driving the interface itself. We will tell you plainly which one applies and what it costs to maintain, because the maintenance burden differs enormously between them.

06Also built here

The rest of what we do

Next Step

Let's build your next system.

Bring us the process costing your team the most hours. We'll tell you honestly which parts are worth automating.

Book a Strategy Call contact@araxys.dev

Prefer to talk now?+91 89391 53390+91 63806 69805

Fixed-scope phases
You own the source
NDA on request
No obligation

Intelligence delivered inside the tools your team already has open

How they are built

The connector is the easy part

What we connect

What we handle so you do not

Mapped and tested before it touches live data

Mapped

Authenticated

Proven in sandbox

Backfilled

Synced

Watched

Why integrations rot, and what stops it

Schema drift

Rate limits

Duplicate writes

Conflicting truth

Credential expiry

The bus factor

Wherever your data is currently moved by a person

AI inside your CRM

Support with full context

Warehouse and data platform

Legacy system bridges

Vendor and partner feeds

Two-way sync

What teams ask before they commit

The rest of what we do

AI Agents

Voice Agents

Knowledge & Retrieval

Process Automation

Custom Software

Let's build your next system.