We build custom AI agents, generative AI systems, and intelligent automation for businesses across the United States and United Kingdom. From scoping to production deployment, we own the full build.
Rated on Clutch | Projects delivered across 12+ countries | $25 to $49/hr | Trusted by Accenture, Coursera, Paysafe
Companies that chose to build with us
Four facts that describe who we are, where we work, and how we earn trust.
Seven years shipping production AI, cloud, and enterprise engineering for clients across the US, UK, and beyond.
Delivery teams in Mumbai and London — regional coverage for US and UK enterprise buyers, single delivery standard.
Banking, financial services, healthcare, manufacturing, logistics, and travel — with domain-aware engineers in each.
Independently reviewed on Clutch with named client references and per-dimension scorecards on every engagement.
Most businesses do not have an AI problem. They have a delivery problem.
Perimattic is the AI development company that closes that gap. We take your use case from whiteboard to working system, building custom AI solutions on the technologies that matter: large language models, agentic AI, computer vision, and predictive analytics. We do not run pilots that go nowhere. We build enterprise AI systems designed for production from day one.
Six AI and technology capabilities. One team that delivers all of them.
We build autonomous AI agents that handle multi-step workflows without human intervention. From customer support agents to internal operations systems, our agentic AI solutions use LangChain, LlamaIndex, and custom LLM orchestration to run at production scale.
Explore AI agent development servicesWe develop generative AI applications on GPT-4, Claude, Gemini, and Llama. Our builds include RAG-powered knowledge systems, content generation pipelines, and multi-modal AI applications that connect language, vision, and structured data.
See our generative AI development servicesBefore we write a line of code, we map your AI opportunity against your data, infrastructure, and team. Our AI consulting service produces a prioritized roadmap with defined use cases, model selection, build vs. buy recommendations, and ROI projections.
Start with AI consultingWe build and deploy machine learning models for predictive analytics, classification, anomaly detection, and recommendation systems. Our ML engineering practice covers the full lifecycle: data engineering, model training, MLOps, and ongoing monitoring in production.
See machine learning developmentWe help enterprises replace manual processes with AI-powered systems. From legacy modernization to cloud-native AI infrastructure on AWS, our digital transformation work focuses on measurable operational outcomes, not technology for its own sake.
Explore digital transformation servicesWe implement and extend ERPNext with custom AI modules that connect your ERP data to machine learning models for demand forecasting, inventory optimization, and process automation. AI integration services cover CRMs, ERPs, and custom enterprise platforms.
See ERP and AI integration services0+
AI projects delivered
0+
Countries served
0%
Client retention rate
$25–$49/hr
Engagement rate
Perimattic's work resulted in stable production systems. The team was helpful, easily accessible, and communicative through email. Their professionalism was impressive.
Quality
4.5
Schedule
5.0
Cost
5.0
Willing to Refer
4.5
DevOps Managed Services · Oct 2023 – Aug 2024
24/7 monitoring and support for production environments plus Linux server administration for a leasing automation company.
The new architecture is scalable and highly efficient, saving a lot of money in fees. Perimattic provides high-quality IT consulting and cloud development work promptly and at great value. The team remains involved from the planning stage to providing support, showing diligence and proactiveness.
Quality
5.0
Schedule
5.0
Cost
4.5
Willing to Refer
5.0
AWS Migration (Legacy → Microservices) · Nov 2018 – Ongoing
Transitioned a travel systems company's legacy server system to an AWS-based microservices architecture with ongoing maintenance.
We have built and deployed AI systems in six verticals. Here is what that looks like in practice.
A 5-stage process built to eliminate the delays, misaligned expectations, and abandoned pilots that kill most enterprise AI projects.
We audit your data, existing systems, and business goals. We define the AI use case, success metrics, and technical constraints before a single model is trained. Output: a scoping document with a defined build path and a go / no-go decision point.
We choose the right model architecture for your problem: fine-tuned LLM, RAG system, supervised machine learning model, or autonomous AI agent. We document the build plan and get sign-off before building anything.
Agile sprints with weekly output. You see working builds, not status reports. We iterate based on real feedback, not assumptions. Every sprint closes with a demo.
We connect the AI system to your existing infrastructure: CRMs, ERPs, cloud platforms, and APIs. We run evaluation frameworks specific to AI output quality, hallucination rate, and latency, not just functional testing.
We deploy to your cloud environment, configure MLOps monitoring, and provide post-launch support. AI models drift over time. We build maintenance and retraining into the engagement from the start, not as an afterthought.
We audit your data, existing systems, and business goals. We define the AI use case, success metrics, and technical constraints before a single model is trained. Output: a scoping document with a defined build path and a go / no-go decision point.
We choose the right model architecture for your problem: fine-tuned LLM, RAG system, supervised machine learning model, or autonomous AI agent. We document the build plan and get sign-off before building anything.
Agile sprints with weekly output. You see working builds, not status reports. We iterate based on real feedback, not assumptions. Every sprint closes with a demo.
We connect the AI system to your existing infrastructure: CRMs, ERPs, cloud platforms, and APIs. We run evaluation frameworks specific to AI output quality, hallucination rate, and latency, not just functional testing.
We deploy to your cloud environment, configure MLOps monitoring, and provide post-launch support. AI models drift over time. We build maintenance and retraining into the engagement from the start, not as an afterthought.
80% of enterprise AI projects never reach production. Perimattic's delivery framework is designed to get your system live, with governance, monitoring, and scale built in from day one. We measure our success by whether the AI runs in your environment, not by whether the prototype impressed a boardroom.
Data engineering, model development, MLOps, frontend, and cloud infrastructure. One team. No subcontractors. No coordination overhead between vendors. When you work with Perimattic, every layer of the system is owned by the same group of engineers.
Every project runs on Jira and Confluence with 100% visibility into sprint progress, blockers, and decisions. You always know where your build stands. No updates that say 'good progress.' Only updates with evidence.
Banking, financial services, healthcare, manufacturing, logistics, and travel. When we build AI for your industry, we bring domain knowledge to the model design. The difference between a generic AI system and one that actually performs in your context is the domain understanding built into its architecture.
A selection of what we have shipped for clients across the US and UK.
We built a full career readiness ecosystem with AI mock interviews, ATS-compatible resume builder, role-based assessments, and smart job matching.
Personalized interview prep and AI assessments at scale. Multi-user platform serving candidates, employers, and experts in one app.
Read the full case study →We built an AI-powered knowledge system with RAG pipelines, SharePoint integration, prompt-based search, and automated document drafting.
Time to find critical information cut by 65%. Document preparation times reduced by 50%. Research cycles shrunk from day to hours.
Read the full case study →Beyond client delivery, Perimattic builds and owns a portfolio of AI and software products.
Research, frameworks, and field notes from our AI engineering practice.
A technical guide to autonomous AI agents for enterprise deployment.
Read the whitepaperHow we approach building production LLM applications for enterprise clients.
Read the postFrameworks and case data for AI deployment in US and UK financial institutions.
Read the whitepaperStraight answers to the questions we hear most from US and UK enterprise buyers.
An AI development company designs, builds, and deploys custom artificial intelligence systems for business use. Unlike an AI consultancy that only advises, an AI development company owns the full engineering lifecycle: data pipelines, model selection, integration, MLOps, and production support. Perimattic is an AI development company serving enterprises across the United States and United Kingdom.
Custom AI development projects typically range from $25,000 for a scoped proof of concept to $250,000+ for a full production system. Perimattic engages at $25–$49 per hour, and most enterprise AI builds land between $50,000 and $150,000 depending on data readiness, model complexity, and integration surface. We provide fixed-scope estimates after a discovery call.
A production-ready AI system usually takes 8 to 20 weeks end to end. A scoped proof of concept can ship in 2 to 4 weeks. Timelines depend on data availability, integration complexity, and whether the model is built on a hosted foundation model (GPT-4, Claude, Gemini) or custom-trained. Perimattic runs weekly sprints with working demos at each milestone.
AI consulting produces a strategy, roadmap, and use-case prioritization — no code. AI development is the engineering work that turns that roadmap into a running system: data engineering, model training, application code, deployment, and monitoring. Perimattic offers both, but our core practice is AI development — we ship systems, not slide decks.
Perimattic delivers AI systems across six verticals: banking, financial services, healthcare, manufacturing, logistics, and travel. Each vertical has domain-specific engineers who understand the data patterns, regulatory constraints, and operational realities of that industry — for example, HIPAA-aware pipelines in healthcare and PCI-DSS-aware data handling in financial services.
Perimattic builds on GPT-4, Claude, Gemini, and open-source models (Llama, Mistral) via frameworks like LangChain and LlamaIndex. Our stack covers vector databases (Pinecone, Weaviate, pgvector), MLOps (MLflow, Weights & Biases), cloud AI services on AWS and Azure, and full-stack integration with Next.js, Node.js, and Python. We select the stack based on your production constraints, not vendor preference.
Evaluate on three dimensions: production track record (ask for shipped systems, not pilots), team depth (data engineers, MLOps engineers, and application developers under one roof), and delivery transparency (sprint cadence, working demos, clear pricing). Ask for verifiable client references on Clutch or G2. Avoid firms that lead with model demos instead of production systems.
Whether you need a proof of concept scoped in two weeks or a full enterprise AI system built from the ground up, we start with the outcome you need and work backwards. Engagements open to businesses across the United States and United Kingdom.
Schedule a discovery callOr email us at sales@perimattic.com — we respond within one business day.