Production-Ready AI Engineering

Don't Just Experiment with AI.
Scale It to Production.

62% of enterprise AI projects die in the pilot phase. Prism Infoways bridges the gap between hype and reality, engineering secure, agentic AI solutions that integrate deeply with your existing data and workflows.

Secure Architecture
Enterprise Grade
GDPR Compliant
Data Privacy

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The "Pilot Purgatory" Problem.

Generative AI is shifting from a novelty to an industrial necessity. Yet, organizations struggle to move beyond chatbots. The barrier isn't the model—it's the Data Architecture.

At Prism Infoways, we don't just wrap ChatGPT in a nice UI. We build the "Digital Nervous System"—the vector databases, RAG pipelines, and governance layers—that allow your AI to reason, act, and drive measurable ROI without hallucinations.

The Composable AI Stack

End-to-end capabilities to take you from concept to scale.

AI Strategy & Advisory

We assess your data maturity (the "Swamp" factor) and define high-impact use cases to ensure you aren't part of the 85% failure statistic.

RAG & Knowledge Engineering

Eliminate hallucinations. We implement Retrieval-Augmented Generation (RAG) to ground AI responses in your verified company data.

Autonomous Agents

Move beyond chat. We build agentic workflows using LangChain and AutoGen that can execute tasks (API calls, refunds, scheduling).

Legacy System Integration

Connect GenAI to your existing ERP, CRM, or Mainframe. We handle the "Last Mile" engineering so AI can act on real-time business data.

Private & Open Source Models

Data privacy first. We deploy open-source models (Llama 3, Mistral) within your private VPC, ensuring no data ever leaves your perimeter.

Governance & LLMOps

Implementation of guardrails, PII masking, and monitoring systems to track token usage, latency, and model drift.

Why Prism?

01

Cost Control & Optimization

Stop burning cash on unnecessary tokens. We optimize context windows and implement caching strategies to keep operational costs low while maximizing performance.

02

Zero-Trust Security

We treat AI as an untrusted user. Our "Red Teaming" approach tests for prompt injections and data leakage before deployment, ensuring compliance with strict standards.

03

Agility Over "Big Consulting"

Avoid the rigid waterfall methodologies of the Big Four. Our agile sprints move you from Proof of Concept (PoC) to MVP in weeks, not years.

04

Grounded Accuracy

We solve the "Black Box" problem. Every answer generated by our solutions includes citations linking back to your internal source documents, ensuring total explainability.

Implementation Methodology

From Concept to Scale

01
Crawl

Assessment & Data Hygiene

We audit your unstructured data (PDFs, emails) and establish the "Impact vs. Feasibility" matrix to select the right pilot.

02
Walk

Architecture & Development

We set up the tech stack: Vector Databases (Pinecone/Weaviate), Embedding models, and the Orchestration layer (LangChain).

03
Run

Monitoring & Red Teaming

Before launch, we rigorously test guardrails. Post-launch, we monitor for latency and "drift" to ensure consistent quality.

04
Fly

Continuous Optimization

We use RLHF (Reinforcement Learning from Human Feedback) to fine-tune the model based on actual user interactions.

Ready to scale your AI implementation?

Built for Every Stage

Who We Empower

Fast-Moving Teams
Startups & SMEs

Build Moats with Unique Data

Don't just wrap an API. We help you build proprietary AI assets that investors love and users value. Fast MVP delivery using the latest open-source stacks.

4 Weeks
Typical MVP Delivery
Open-source stack for cost efficiency
Rapid prototyping & iteration
Investor-ready documentation
Enterprise Scale
Enterprise Leaders

Integrate Without Compromise

Integrate GenAI without compromising compliance. We specialize in on-prem deployment, private cloud hosting (Azure/AWS), and seamless legacy integration.

SOC2
Compliant Architecture
Private cloud & on-premise deployment
Legacy system integration
Full compliance & governance

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Models

OpenAI (GPT-4o), Anthropic (Claude), Meta (Llama 3), Mistral

Orchestration

LangChain, LlamaIndex, Semantic Kernel

Database

Pinecone, MongoDB Atlas, Weaviate

Cloud

AWS Bedrock, Azure OpenAI Service, Google Vertex AI

*We are a model-agnostic partner, selecting the best-fit technology for your specific use case.

Frequently Asked Questions

We use Retrieval-Augmented Generation (RAG). This forces the AI to only answer using data present in your specific knowledge base. If the answer isn't in your documents, the AI is programmed to say "I don't know" rather than guess.
Absolutely not. We configure enterprise agreements and private VPCs (Virtual Private Clouds) where your data remains isolated. It is used only for inference (processing your request) and is never retained by the model provider for training.
Yes. This is our specialty. We build secure API layers (middleware) that allow modern AI agents to "talk" to legacy SQL databases or internal APIs securely.
A "Proof of Concept" typically takes 3-4 weeks. A production-grade MVP usually takes 8-12 weeks, depending on data readiness.
Costs are consumption-based (per token). We help you estimate these costs upfront and implement "Model Distillation"—using cheaper models for simple tasks—to keep long-term operating expenses low.

Ready to Deploy Autonomous Agents?

Stop deflecting. Start resolving. Book your feasibility assessment today and see how Agentic AI can transform your operations.