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MicroPyramid

IN Website 51-200 employees

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$25 - $49/hr
4.3

2 reviews

External Reviews

Technologies

DjangoPythonPostgreSQLReactSvelteKitFlutterFastAPIKubernetesDockerAWS EC2AWS S3AWS SQSCeleryRedisKafkaTensorFlowChromaDBLangChainLangGraphLangfuseSocket.IOPrismaTailwind CSSKVMMCP

Services

AI Systems & RAG DevelopmentLegacy ModernizationDjango UpgradesProduct EngineeringFull-Stack DevelopmentMVP DevelopmentMigration & Rescue WorkTechnical AuditsSystem RebuildsInfrastructure & ArchitectureSupport AssistantsKnowledge Systems

Notable Clients

Refactored.aiBottleCRMDiscoveredByRunCodeFurryPariNowFinanceFireMattersOnlineCompiler.ioDet EastCreditable AfricaJDB Technology Solutions

MicroPyramid is a founder-led software engineering firm based in India working with startups and SMBs on AI systems, product engineering, and legacy modernization. The company was founded by Ashwin Kumar, an engineer with 14+ years building products and teams. It has delivered 50+ projects across 8+ countries and reports 95% client retention. The team is small and senior-focused: rather than scaling headcount, MicroPyramid takes on work where technical judgment matters from the start—inherited codebases, AI integrations that need to fit real workflows, and full-stack product delivery where the risk of generic outsourcing is too high.

Services and capabilities

MicroPyramid organizes work into three service lanes. AI / RAG covers internal knowledge systems, support assistants, document Q&A, and retrieval-backed product features. Modernization & Migration addresses rescue work on aging products, Django and Python upgrades, and legacy platform migrations without reckless rewrites. Product Engineering spans dashboards, portals, SaaS features, MVPs, and full-stack delivery across frontend and backend.

The company leads with fixed-scope offers rather than open-ended retainers. A typical engagement starts with a focused discovery sprint—use-case mapping, data source review, architecture recommendation, or codebase audit—followed by concrete delivery. Examples include a RAG Discovery Sprint (2-4 weeks of architecture work and roadmap), an Internal Knowledge Copilot MVP (document ingestion, retrieval system with citations, role-based web interface), a Django Modernization Sprint (codebase review, security hardening, next-phase roadmap), or an MVP Sprint (backend foundations, launchable product slice, optional AI components). Clients work directly with senior engineers; there is no layer of account managers or project coordinators between the builder and the buyer.

The company emphasizes practical AI. It builds AI where it solves real workflow problems—support deflection, document search, interview analysis—not as a gimmick layer. Similarly, on modernization work, the focus is reducing long-term complexity rather than chasing architectural trends. Projects balance speed with maintainability and ship in focused steps rather than hiding behind oversized roadmaps.

Notable work

Refactored.ai (education technology): MicroPyramid built a multi-tenant upskilling and interview practice platform combining learning workflows, AI-assisted audio/video feedback for interviews, customized Jupyter notebooks for hands-on practice, and on-demand learner workspaces. The platform handles real-time browser and mobile constraints and coordinates Kafka, Redis, TensorFlow, and Kubernetes infrastructure. It shipped the full product from the ground up.

DiscoveredBy (AI search intelligence): The company built an AI visibility platform that monitors how brands appear across ChatGPT, Gemini, Perplexity, Claude, and Grok. The platform performs daily scanning across real search contexts, compares competitor visibility, and surfaces recommendations on titles, content, and page optimization using RAG-powered analysis and agentic evaluation logic. It reached roughly 100 company signups in the first month.

BottleCRM (open-source CRM): MicroPyramid built a self-hosted, modern CRM platform for startups and SMBs with multi-tenant architecture, invoicing, support workflows, and full-stack delivery. The project is open-source and demonstrates the company's work in business platform engineering.

Other named projects include RunCode (cloud-based coding platform with AI-assisted features), FireMatters (fire safety compliance platform for Australian building owners with automated calculations and document workflows), NowFinance (loan advisor portal with affiliate network management and dynamic dashboards for financial consultants), and OnlineCompiler.io (sandboxed code execution platform supporting 12 languages with REST API, WebSocket, and MCP support for AI agents).

How they work

Every engagement starts with a discovery call (free, 30 minutes). The company then proposes a focused, fixed-scope first step—an audit, sprint, or assessment—rather than an open-ended retainer. Projects typically begin with either a technical audit (for existing systems), a modernization assessment (for legacy rescue work), a migration roadmap (for platform transitions), a RAG discovery sprint (for AI use cases), or an MVP sprint (for new products). Clients work directly with Ashwin Kumar or senior engineers; there is no handoff chain. The company guarantees a response within 24 hours. Pricing is not published on the website, and engagement terms depend on scope and project type.

Team and credentials

MicroPyramid is led by founder Ashwin Kumar, whose background spans 14+ years in product engineering, Python/Django development, AI and retrieval systems, infrastructure and architecture, and leading engineering teams. The company does not disclose total headcount but emphasizes founder-led execution and senior technical ownership. No certifications (ISO 27001, SOC 2, etc.) are mentioned on the website. The company has served clients across the USA, Canada, Australia, the UK, and Europe, working in fintech, education, HR tech, ecommerce, real estate, and developer tools.

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Case Studies

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Client Reviews

Reviews from verified clients

4.3

2 third-party reviews

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Frequently Asked Questions

What does MicroPyramid specialize in?
MicroPyramid builds AI/RAG systems, modernizes legacy Django and Python products, migrates aging platforms, and delivers full-stack product engineering. The company works best with startups and SMBs where senior technical judgment is needed from the start—inherited codebases, AI integrations, and complex platform builds rather than generic ticket work.
Where is MicroPyramid based?
MicroPyramid is based in India. The founder, Ashwin Kumar, leads the company and has served clients across the USA, Canada, Australia, the UK, and Europe. The company operates globally and has 14+ years of engineering experience across 8+ countries.
How does MicroPyramid structure engagements?
Every engagement starts with a free 30-minute discovery call. The company then proposes a focused, fixed-scope first step—either an audit, modernization assessment, migration roadmap, RAG discovery sprint, or MVP sprint—rather than open-ended retainers. Clients work directly with senior engineers; there is no handoff chain. Response time is guaranteed within 24 hours.
What technologies does MicroPyramid work with?
The company specializes in Django and Python but works across modern stacks including React, SvelteKit, FastAPI, PostgreSQL, Kubernetes, Docker, AWS, Celery, Redis, and AI/ML frameworks like TensorFlow, ChromaDB, LangChain, and LangGraph. It also has experience with Flutter for mobile and developer infrastructure (Docker, KVM, MCP).
What are some of MicroPyramid's notable projects?
Key projects include Refactored.ai (multi-tenant AI upskilling platform with interview feedback), DiscoveredBy (AI search visibility platform monitoring ChatGPT, Gemini, Perplexity, Claude, and Grok), BottleCRM (open-source self-hosted CRM), and OnlineCompiler.io (sandboxed code execution platform with AI agent support). The company has delivered 50+ projects and maintains 95% client retention.
Who should engage with MicroPyramid?
Best fit clients are startups with real traction needing senior execution partners, SMB SaaS companies needing faster feature delivery, support-heavy businesses with large knowledge bases (for RAG solutions), and teams stuck with legacy software and technical debt. The company works best where the work is too important for generic outsourcing.

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