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About PerceptronAI

An AI product studio and delivery partner — engineered for production.

We help startups and businesses turn ideas into intelligent, scalable, deployable AI systems — from strategy and MVP design to cloud deployment, observability, and growth.

We're a focused team of senior AI engineers, platform engineers, cloud specialists and a business analyst — covering the full path from problem framing to a deployed system.

Our work blends AI consulting, generative AI systems, agentic workflows, RAG and enterprise search, voice AI and conversational systems, SaaS product development, cloud and DevOps, custom automation, and full MVP-to-production delivery. The same team handles strategy, design, engineering and operations.

We chose this shape because the gap that kills most AI projects sits between vendors — between the strategy deck, the model, the cloud, and the product. Owning the path end-to-end removes that gap.

Production-first AI engineering
Strategy + design + development in one team
GenAI, Agentic AI, RAG, Voice AI & MLOps depth
Dockerized, cloud-ready delivery with full handover
PerceptronAI engineering — NeuroMesh agent graph
Minutely meeting platform
SalesPire pipeline intelligence

5+

Years in AI & data engineering

25+

Production systems shipped

12

Client geographies served

6 wks

Avg. MVP delivery window

How we work

A six-step path from idea to a system you can trust.

Each step ships a concrete artifact. No mystery-box engagements.

01

Discover

Stakeholder interviews, data audit, success metrics, risk mapping. We end this phase with a written problem framing and a measurable target.

02

Design

System architecture, model strategy, retrieval & agent design, UX wireframes, integration plan, security & compliance posture.

03

Build

Iterative engineering with weekly demos. Clean repos, typed code, evaluation harnesses for prompts/agents, full test coverage on critical paths.

04

Integrate

We connect to your CRM, data warehouse, auth, billing and downstream tools. APIs, webhooks, queues — production-grade.

05

Deploy

Dockerized rollout to AWS, GCP, Azure, or your VPC. Blue/green or canary where needed. Secrets, SSL, monitoring all wired.

06

Monitor & Improve

LLM observability (Langfuse, LangSmith), system observability (Grafana, Prometheus), continuous evals and a clear improvement loop.

The team

Senior operators across AI, platform, cloud and product.

No agency overhead, no junior-heavy delivery. The people on the call are the people on the keyboard.

Meet the team
Saad Alam, CEO & AI Lead at PerceptronAI

CEO & AI Lead

Saad Alam

AI & Data Science

AI & Data Science Consultant specialising in GenAI, Agentic AI, RAG systems, Voice AI, MLOps and production AI platforms. 5+ years across enterprise AI delivery, multi-agent frameworks, voice automation, document intelligence and meeting AI.

GenAIAgentic AILangGraphRAGVoice AI
LinkedIn
Shahid Nawaz, CTO at PerceptronAI

CTO

Shahid Nawaz

Blockchain & Platform Engineering

Technology leader focused on blockchain architecture, secure platforms and scalable engineering systems. Owns platform direction, security posture and engineering quality bar at PerceptronAI.

Solidity / EVMDistributed SystemsSecurity ArchitectureNode.js · GoCryptography
LinkedIn
Shafaat Ullah, Cloud & DevOps Lead at PerceptronAI

Cloud & DevOps Lead

Shafaat Ullah

Cloud Infrastructure & SRE

Cloud and DevOps specialist focused on scalable infrastructure, deployment automation, CI/CD, Docker and production reliability. Owns delivery infrastructure across client engagements.

Docker · KubernetesAWS · GCP · AzureCI/CDNginxTerraform
LinkedIn
Mawra Muneer, Business Analyst Consultant at PerceptronAI

Business Analyst Consultant

Mawra Muneer

Business Analysis & Delivery

Business analyst consultant focused on requirement discovery, product documentation, client communication and solution alignment. Translates messy business reality into clear specs and outcomes engineering can ship against.

Discovery & RequirementsProduct DocumentationStakeholder ManagementProcess MappingUAT & Delivery
LinkedIn
What clients say

Plain words from real engagements.

PerceptronAI's team walked us from a vague AI idea to a deployed product in eight weeks — with eval dashboards, runbooks, and a roadmap our team could continue.

Internal stakeholder

Director of Product (NDA)

We've worked with three AI vendors. PerceptronAI is the only one that ships with observability and eval already wired up. Their handover docs are the best we've seen.

Engineering lead

Mid-market SaaS (NDA)

The voice agent went live on real customer calls within a quarter. Containment numbers improved week over week — and we always know why, thanks to the eval suite.

Operations leader

Recruitment Agency (NDA)

Ready to ship something real?

Let's map your AI idea into a production system — in one strategy call.

30 minutes, no pitch deck. Bring a goal, leave with a candid architecture and a realistic timeline.