O

OMNISOLVEAI

Initializing Intelligence Protocol

SECP-Registered · NICAT Islamabad

Agentic AI Production Specialist.

We don't just build AI demos — we deploy autonomous LLM agent pipelines that run 24/7 in production, handle real business workflows, and deliver measurable ROI.

82%
Cost reduction vs GPT-4 with Groq LPU inference
72hrs
Average time from contract to production deployment
7
Autonomous agent types — Sales, Support, HR, Finance, CEO, Content, BDA
99.9%
Uptime SLA on Enterprise deployments
Our Specialization

What an Agentic AI
Production Specialist Does

Production AI is different from prototype AI. Here's what we handle that others skip.

LLM Agent Architecture

Design multi-step agentic pipelines with memory, planning, tool-use, and critique loops — built to handle real business workflows, not toy demos.

Production Deployment

From sandbox to live in under 72 hours. SSE streaming, rate limiting, error recovery, and auto-scaling on Vercel + Supabase infrastructure.

Vector Memory Systems

Persistent agent memory using pgvector — agents that remember customer context, past interactions, and company-specific knowledge.

Cost Optimization

Groq LPU inference (82% cheaper than GPT-4), Upstash Redis caching (40% hit rate), and tier-based model routing — enterprise AI at startup prices.

Reliability & SLA

99.9% uptime SLA on Enterprise, HMAC webhook verification, graceful fallbacks, and full audit trails on every agent run.

Bilingual Urdu + English

Production agents that understand and respond in both Urdu and English — built specifically for Pakistani and South Asian business contexts.

Our 6-Stage Pipeline

Production Agent Architecture

Every agent we deploy runs through this battle-tested 6-step pipeline.

01

Memory Retrieval

Load relevant context from vector store

02

Task Routing

8b model classifies task type and selects template

03

Research

Web search + internal knowledge grounding

04

Generation

70b model writes output with SSE streaming

05

Critique & Revise

Quality check — auto-revise if score < 7/10

06

Memory Save

Persist result to vector store for future context

Production Readiness Checklist

Every deployment we ship checks all these boxes before going live.

Multi-step pipeline: memory → route → plan → research → write → critique → revise
Groq llama-3.3-70b-versatile for complex tasks, llama-3.1-8b-instant for routing
Redis-backed LLM response caching with TTL and cache invalidation
Vector similarity search for contextual agent memory retrieval
SSE streaming for real-time output — no waiting for full responses
Per-customer rate limiting (100 req/hr) with graceful 429 responses
A2A (agent-to-agent) cross-calls for multi-department workflows
Full cost tracking: PKR/run logged to Supabase with daily dashboards
DuckDuckGo web search integration — zero API cost
Webhook signature verification for all payment and external events

Industries We Deploy In

We have production experience across these verticals in the Pakistani and GCC markets.

E-commerce & Retail

Order management AI, return handling, product recommendation agents

Real Estate

Lead qualification, property query agents, follow-up automation

Healthcare

Appointment booking, FAQ agents, patient onboarding automation

Financial Services

P&L reports, compliance checks, investor update generation

Education & EdTech

Student support agents, content generation, enrollment automation

Logistics & Supply Chain

Tracking queries, vendor communication, ops report automation

Common Questions

Ready to Deploy in Production?

Tell us your workflow — we'll architect and deploy the right agent for your business in under 72 hours.

Ready to Transform Your Business with AI?

Let's discuss how OmniSolve AI can deliver measurable results for your company.

Free Consultation
Custom Solutions
Proven Results