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Comprehensive Integrations

Appice connects to everything.
It replaces nothing.

Consume data from every source, decide in real time, act across every channel — without replacing a single system you already run.

200+
Connectors
<200ms
API latency
7
Patterns
0
Rip-and-replace
See it in action Explore the Platform
Enterprise Data Sources
Core BankingFinacle · Temenos · Topaz · FlexCube
Event StreamsKafka · Kinesis · Pub/Sub
Data WarehouseSnowflake · BigQuery · Redshift
Client SDKsiOS · Android · Web · React Native
CRM & ERPSalesforce · SAP · Oracle
Legacy / BatchSFTP · CSV · Scheduled ETL
Appice
Real-Time Action Layer
CDP — Unify Predictive AI — Decide CMP — Orchestrate Allyvate AI — Execute
Engagement Channels
Push NotificationsFCM · APNs · HMS
WhatsApp & RCSKarix · Gupshup · Sinch
EmailSMTP · SendGrid · SES
SMS & VoiceTraffic Manager
In-App & WebBanners · Overlays
Paid MediaMeta · Google · DV360
7 Patterns: 01 API 02 Streaming 03 Batch 04 Reverse ETL 05 SDKs 06 Channels 07 Secure
Integration patterns

200+ connectors. Seven patterns. Every system.

Every enterprise is different. Appice supports all major integration patterns — cloud, on-premise or hybrid, on your terms.

01 — API Integration

Real-time bidirectional APIs

Real-time, bidirectional APIs connect Appice directly to existing core banking and financial systems — including Temenos, Topaz, Finacle and FlexCube — as well as CRM platforms, loan origination, data lakes, messaging gateways and digital channels. Instant decisioning and action at the moment of customer interaction — no batch lag, no manual workflow.

REST GraphQL Webhooks <200ms
02 — Event Streaming

Real-time event ingestion

Appice consumes live events — transactions, app behaviour, web activity — via Kafka, Kinesis, and Pub/Sub. Decisions are made on the latest customer context, not yesterday's data. A salary credit, a data limit hit, a cart abandonment — all trigger instant action.

Kafka Kinesis Pub/Sub Real-time
03 — Batch & File

Legacy-compatible ingestion

For legacy environments not yet on streaming, Appice supports secure batch uploads and scheduled data pipelines — SFTP, CSV, Parquet. Customer records, transaction files, and CRM exports are securely ingested and activated, ensuring no system is left behind.

SFTP CSV / Parquet Scheduled ETL Legacy
04 — Reverse ETL

Activate your data warehouse

Appice integrates with Snowflake, BigQuery, Databricks, and Redshift to activate analytical models and computed audiences directly into real-time campaigns and journeys. The gap between analytics insight and customer-facing action is closed — instantly.

Snowflake BigQuery Databricks Redshift
05 — SDKs & Tracking

Behavioural tracking layer

Lightweight SDKs for iOS, Android, and JavaScript capture behavioural events in real time — screen views, feature usage, purchase intent, session depth. This feeds the decisioning engine continuously so every personalisation reflects what the customer is doing right now.

iOS SDK Android SDK JS SDK React Native
06 — Channel Connectors

Native MarTech & channel integrations

Native connectors to messaging platforms — FCM, APNs, HMS for push; Karix, Gupshup, Sinch for WhatsApp and SMS; SendGrid, SES for email; Meta and Google for paid media — allow Appice to orchestrate execution across channels without fragmentation.

Push WhatsApp SMS Email Ad Platforms
07 — Secure Architecture

Enterprise-grade governance at every layer

Appice supports on-premise, cloud, and hybrid deployments with strong governance, encryption, and compliance frameworks — ensuring data remains within regulatory boundaries. PDPL, DPDPA, GDPR, and banking compliance enforced by design, not configuration.

On-Prem Hybrid Multi-Cloud mTLS AES-256

The result: one orchestrated flow

Appice becomes the real-time action layer sitting across systems — not replacing them — bringing together data, AI, and execution into a single, coherent flow. Every customer signal triggers the right decision, delivered through the right channel, at the right moment.

Ecosystem

Works with what you already run

No rip-and-replace. No proprietary lock-in. Appice integrates without disrupting existing investments.

Core Banking
Finacle (Infosys) Temenos Topaz FIS FlexCube TCS BaNCS Mambu Thought Machine
Data Platforms
Snowflake Google BigQuery Databricks AWS Redshift Azure Synapse Apache Kafka
CRM & MarTech
Salesforce SAP CX Microsoft Dynamics HubSpot Adobe Experience Segment
Cloud Infrastructure
AWS Google Cloud Microsoft Azure On-Premises Private Cloud Hybrid
Messaging & Channels
FCM / APNs Karix Gupshup Sinch Twilio SendGrid
AI & Analytics
OpenAI Google Vertex AI AWS Bedrock Azure OpenAI Looker Tableau
Design principles

Built to integrate without compromise

01

No rip-and-replace

Appice sits above your existing systems — not replacing them. Core banking platforms, CRMs, data warehouses, and legacy infrastructure continue operating unchanged. Appice adds the decisioning and activation layer on top of what you already run.

02

Data sovereignty first

All integration patterns operate within your regulatory boundary. Data is processed and stored in your designated region. On-premise deployments ensure data never leaves your own infrastructure — critical for banking compliance, PDPL, DPDPA, and GDPR.

03

Open architecture throughout

Every module — AI model, data warehouse, messaging provider, identity system — can be swapped without platform migration. Bring your own Snowflake, your own LLM, your own WhatsApp BSP. Appice adapts to your stack, not the other way around.

04

Real time, not near real time

Integration latency is not just a technical metric — it's a business outcome. Appice processes events and triggers decisions in under 200ms end-to-end. The result is not a better campaign — it's action at the precise moment of customer intent.

Implementation

From day one to production.

Most integrations move from kickoff to first signals flowing in days, not months.

01

Week 1 — Map the stack

Walk through your systems, channels and compliance perimeter. Choose the patterns that fit.

02

Weeks 2–3 — Connect

Pre-built connectors plug into your cores and channels. First signals flow inside your perimeter.

03

Weeks 4–6 — Go live

First decisions and actions in production. Outcomes feed back into models and journeys from day one.

In production

Connected. Live. Inside the perimeter.

Live at Tier-1 banks, telcos and digital lenders across India, the GCC and South-East Asia — inside the customer's perimeter, fully audited.

Where Appice deploys

Your stack, your data centre, your regulator.

Pick the deployment that matches your environment. Data never leaves your perimeter unless you choose otherwise.

On-premise

Runs entirely inside your data centre. Critical for banking and government compliance.

Private cloud

VPC inside your AWS, Azure or GCP tenant. Full control, full audit.

Hybrid

Decisioning on-premise, channel execution via Appice infrastructure. Built for residency rules.

Multi-cloud

Run modules across providers and switch without re-platforming. Open architecture throughout.

FAQ

Integration questions.

How long does a typical integration take?

Most enterprise integrations move from kickoff to first signals in 2–3 weeks, and to live decisioning in 4–6 weeks. Legacy-heavy environments may take longer for the file-based pieces.

Does data leave our perimeter?

No, not unless you choose a deployment model that allows it. On-premise and private-cloud deployments keep all customer data inside your designated region.

Can we swap an integration provider later?

Yes. Every module — data warehouse, LLM, BSP, identity, messaging — is replaceable without a platform migration. Switch providers in minutes, not months.

Which integration patterns suit legacy systems?

Patterns 03 (Batch & File) and 04 (Reverse ETL) are designed for legacy environments. SFTP, CSV / Parquet and scheduled ETL meet the systems where they are.

See your systems connected in 30 minutes.

We'll map your existing stack to Appice and show you the integration paths that matter for your environment.

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