Perimattic

Perimattic has been building production AI, cloud, and enterprise engineering systems since 2018. Its work focuses on turning business use cases into production-ready systems rather than abandoned pilots or demonstration-only prototypes.

Core capabilities

• AI agents and chatbots for multi-step workflows
• Machine learning models built around business data
• Computer vision and predictive analytics
• ERP systems and digital transformation
• Data pipelines, data cleanup, and system integration
• Custom web and mobile applications
• Cloud migration and legacy system upgrades

Perimattic works across banking, financial services, healthcare, manufacturing, logistics, travel, retail, and e-commerce. Its founder and CEO is Gaurav Pareek.

• AI development: Tailored AI tools that streamline tasks and generate insights from business data.
• SaaS platform development: Scalable, multi-tenant SaaS platforms designed for growth, security, and user experience.
• Application modernization: Migration and re-architecture of legacy applications into modern, cloud-native systems.
• Manufacturing software development: IoT, automation, and data-driven systems for manufacturing operations and supply chains.
• DevOps and platform engineering: GitOps pipelines, Kubernetes platforms, cloud cost optimization, and managed DevOps.

AI engagement stages

1. Discovery and AI scoping: Perimattic reviews data, existing systems, business goals, success metrics, and technical constraints. The output is a scoping document and a go/no-go decision point.
2. Architecture and model selection: The team selects an appropriate architecture, such as a fine-tuned LLM, RAG system, supervised machine learning model, or autonomous AI agent.
3. Development and iteration: Agile sprints provide weekly output and working demos based on real feedback.
4. Integration and testing: Systems are connected to infrastructure such as CRMs, ERPs, cloud platforms, and APIs. Testing covers AI output quality, hallucination rate, and latency.
5. Deployment and support: Perimattic deploys to the client's cloud environment, configures MLOps monitoring, and provides post-launch support, maintenance, and retraining.

The company also offers consulting, but its core practice is engineering and deploying running systems.

Perimattic invites prospective clients to share an AI use case for an honest assessment of what it would take to bring the system into production.

Contact

[sales@perimattic.com](mailto:sales@perimattic.com). The company states that it responds within one business day.

Lists San Francisco as a location. Names California, Indiana, and United States as a service area. Areas beyond these are not published.

Main functions

• Detects anomalies in sales, advertising, returns, inventory, and margins
• Provides plain-English diagnoses and specific recommended fixes
• Reconciles channel data into a single source of truth
• Lets AI agents suggest or execute actions within limits set by the user
• Provides reporting across revenue, advertising, operations, inventory, and audience intelligence

BrandNata offers more than 50 connectors, including Shopify, Amazon, TikTok Shop, eBay, Walmart, Meta Ads, Google Ads, GA4, email platforms, logistics providers, payment services, and customer-support tools. Most connections use OAuth and take minutes per platform.

AI agents

Available agents include:

• Meta Ads Agent
• Google Ads Agent
• Marketplace Ads Agent
• SEO and Organic Agent
• GTM Agent
• Email and Retention Agent
• Social Media Agent
• Support Agent
• Inventory and Pricing Agent

Agents begin in suggest mode. Users can approve individual recommendations or grant operating limits, and agent actions are logged and reversible.

BrandNata is designed primarily for founders and growth leads at D2C brands, with agencies managing multiple brands as a secondary audience. The platform supports US, EU, and India data residency. Its stated safeguards include SOC 2 and ISO 27001 certified infrastructure, regional data storage, no use of data to train shared models, and no visibility of one brand's data to another.

• GDPR: Privacy-by-design data flows, lawful basis, data minimization, and right-to-erasure support for EU users.
• UK GDPR and DPA 2018: UK data protection requirements for UK client builds.
• HIPAA: PHI-aware pipelines, encryption in transit and at rest, and audit logging for healthcare engagements.
• CCPA/CPRA: California consumer privacy handling for US consumer-facing products.
• DPDP Act 2023: India's data protection law for systems serving Indian users.
• PCI DSS: Cardholder-data-aware architecture for payment and fintech systems.

Engagement safeguards

• Engagements run under an NDA with full IP assignment.
• Code is stored in repositories owned by the client from day one.
• Systems are built in the client's cloud accounts.
• Client data is not used to train shared models or reused across clients.
• Access controls include least-privilege access, separated environments, managed secrets, and credential offboarding.

Perimattic's delivery is aligned with ISO/IEC 27001, ISO/IEC 42001, ISO 9001, ISO 22301, and SOC 2 trust principles.