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AI Platform

Multi-AI System Development

One platform that unifies GPT, Claude, Gemini and open-source models with smart routing

₹
Investment
₹4,00,000 - ₹30,00,000
◷
Timeline
8-16 weeks
Signal
Up to 60% lower AI cost
What this unlocks when delivered right. The number that makes the business case.
500+
Projects shipped
8 yrs
In business
7
Countries
4.8★
Client rating
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01 Overview

No single AI model wins at everything. A multi-AI system routes each request to the best model for the job — GPT, Claude, Gemini or open-source — with automatic fallback, caching and a single billing view. AdelSocial builds these AI gateways and multi-model apps so you get better answers, lower cost, and zero vendor lock-in.

02 The Challenges

Problems we solve

The operational friction killing growth right now. Each one eliminated by what we build.

01

Vendor lock-in

Betting on one model means outages and price hikes hit your product directly.

02

Wrong model for the task

Using an expensive model for simple jobs wastes money; a weak one hurts quality.

03

No unified billing or limits

Multiple provider keys, no central cost control, usage limits or analytics.

04

Fragmented experience

Separate tools for chat, images, voice and documents instead of one interface.

03 Capabilities

Everything we ship

Standard in every engagement. Add more, remove some — each build adapts to your scope.

01
⚡

Smart Model Routing

Automatically send each request to the best or cheapest capable model with fallback on failure.

02
💬

Unified Chat Interface

One clean UI for chat, documents, images and voice across every connected model.

03
📊

Usage & Cost Analytics

Per-user, per-model spend, tokens and latency with budgets and alerts.

04
🔐

Team & Access Control

Workspaces, roles, API keys and per-user limits for safe internal rollout.

05
🔗

API Gateway

A single API your apps call; we handle provider keys, retries and rate limits.

06
🧪

Prompt & Knowledge Library

Reusable prompts and a private knowledge base grounding answers in your data.

04 Stack

Built with modern, battle-tested tech

We pick the stack based on your scale, team and 5-year maintainability — not what's trendy.

AI
  • OpenAI, Claude, Gemini
  • Llama, Mistral (self-host)
  • LiteLLM / OpenRouter
Backend
  • Node.js / Python
  • Streaming APIs
  • Redis caching
Infra
  • Postgres + pgvector
  • Docker / K8s
  • AWS / GCP
05 Process

How we ship

Transparent, milestone-based process with weekly demos. No black box, ever.

01

Discovery & Scoping

We map your requirements, users and success metrics for the ai platform, then lock scope, milestones and a fixed quote.

Duration
1 week
02

UI/UX Design

Wireframes to pixel-perfect screens for every flow, reviewed with you before a line of code is written.

Duration
1-2 weeks
03

Architecture & Setup

Database schema, API design, cloud infrastructure and a security baseline built for your scale.

Duration
1 week
04

Development

Feature-by-feature builds shipped to a staging URL every week for your live feedback.

Duration
3-10 weeks
05

QA, Security & Testing

Manual and automated testing, load testing and a security pass before anything goes live.

Duration
1-2 weeks
06

Launch & Support

Deployment or app-store submission, plus post-launch support, monitoring and iteration.

Duration
Ongoing
06 Investment

Transparent pricing

Starting points based on business stage. Every tier is customizable — the final number depends on scope.

Starter
₹4,00,000

Startups & MVPs

  • Smart Model Routing
  • Unified Chat Interface
  • Usage & Cost Analytics
  • Admin dashboard
  • 3 months support
Discuss this plan →
Enterprise
Custom Quote

Large-scale & enterprise

  • Everything in Growth
  • Prompt & Knowledge Library
  • Custom integrations & white-label
  • Dedicated project manager
  • 12 months support + SLA
Discuss this plan →
07 FAQ

Frequently asked questions

What is a multi-AI system?

A platform that connects several AI models behind one interface and API, routing each task to the best model with fallback, caching and unified billing.

Why not just use ChatGPT?

A multi-model setup avoids lock-in, cuts cost by routing simple tasks to cheaper models, and improves quality by using each model's strengths.

How much does it cost to build?

Multi-AI platforms start around ₹4,00,000 and scale to ₹30,00,000+ for enterprise features, SSO and self-hosted models.

Can you self-host open-source models?

Yes — we can deploy Llama, Mistral and others on your cloud for privacy and cost control alongside commercial APIs.

Can it use our private data?

Yes, we add retrieval over your documents so answers are grounded in your knowledge base securely.

Let's build

Ready to ship?

Book a 30-minute consultation. We'll scope your project, estimate accurately, and share recommendations — no sales pressure, no obligations.