Production-Ready AI Engineering

Generative AI Solutions: Scaling Up From Experimentation to Implementing AI

Many enterprise's AI initiatives fail before they reach the pilot stage (62% of cases). Our Generative AI Services help to fill a need by building the infrastructure necessary to provide enterprise level Generative AI solutions that function as components of your existing data and processes in a secure and biased manner.

Secure Architecture
Enterprise Grade
GDPR Compliant
Data Privacy

Get Your Free Consultation

The 'Pilot Purgatory' Problem

Generative AI being more than an experiment and moving towards being 'industrial.' Many companies are having difficulties moving from using AI with ChatGPT integrations only and the problem is not with the use of the model itself, but with their data architecture.

At Prism Infoways, we provide more than just ChatGPT with a pretty front-end UI; we construct a 'Digital Nervous System' that includes the vector databases/rag pipelines/governance structures that provide your AI with the ability to reason, take action, and produce measurable ROI free of hallucinations.

The Composable Generative AI Services Stack

End-to-end capabilities to take you from concept to scale through comprehensive generative AI solutions.

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 through gen AI services.

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 with secure gen AI.

Governance & LLMOps

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

Why Choose Prism Generative AI Solutions?

01

Cost Control and Optimization

Stop spending on unnecessary tokens and focus on optimizing your context windows and caching strategies, keeping your operational costs low while maximizing performance through generative AI solutions.

02

Zero-Trust Security

AI is treated as an untrusted user within our Red Teaming product. Utilising prompt injection, Red Teaming tests are conducted before deploying in order to meet an exacting compliance standards.

03

Agility Over the Big Consulting Firm

Use agile sprints instead of every Big Firm's rigid, waterfall methodologies, moving from Proof of Concept (PoC) to an MVP in weeks, rather than multiple years by using our generative AI services.

04

Grounded Accuracy

We address the 'black box' issue: every answer generated by our generative AI solution includes a citation linking back to your internal source document for total explainability.

The Way We Implement:

From Idea to Scalability

01
Crawl

Getting Prepared & Cleaning Dynamics

We look at all your unstructured information (emails, PDFs) and determine which unstructured data has the most potential for impact, by producing an "impact versus feasibility" matrix, as well as coming up with a right pilot

02
Walk

Setup & Development

We will build the technology stack you need to successfully implement **generative AI solutions**, which consist of Vector Databases (Pinecone or Weaviate), an Embedding Engine, and the Orchestration layer (LangChain).

03
Run

Monitoring & Red Team

We will test and set up guardrails before we launch a solution, and Post-launch, we monitor for latency and "drift" to ensure consistent quality.

04
Fly

Continuous Improvement

We apply RLHF (Reinforcement Learning from Human Feedback) to continuously improve the model based off the actual user interaction.

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

Powered by Modern Architecture

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 Build Your Generative AI Advantage?

Stop letting opportunities pass. Schedule a strategy session and see how our GenAI engineers can build robust, scalable intelligence systems tailored for your operations.