TechEniac

TechEniac builds AI-native SaaS products for startup founders, with offices in Ahmedabad, India and Bayville, New Jersey. The company has shipped 100+ projects over 8+ years and maintains a 98% client retention rate. Their engineering is grounded in production systems—not prototypes. They work daily with OpenAI, Claude, Gemini, Llama, LangChain, LangGraph, and vector databases like Pinecone and Weaviate to ship multi-agent architectures, RAG pipelines, and vision transformers. 95% of their clients are SaaS founders, which means every engineer on the team understands multi-tenancy, subscription billing, webhook integrations, and the scaling challenges that early-stage products face.

Services and capabilities

TechEniac's core offering is AI SaaS product development—building software where artificial intelligence sits in the foundation, not bolted on as a feature. They handle the full lifecycle from product architecture through production deployment, including LLM orchestration, vector database setup, embedding pipelines, and inference-cost optimization. The company positions this as different from traditional SaaS, which lacks the model layers, prompt management, and observability needed for AI systems.

They also offer AI product consulting for founders still validating ideas, helping define feasibility, architecture, accuracy requirements, and data strategy before a single line of code is written. For companies with existing products, they integrate AI capabilities—intelligent search, LLM-powered assistants, automated data extraction, content generation—without requiring a full rebuild. Their multi-agent systems use LangGraph to orchestrate autonomous workflows where agents fact-check one another's outputs; one documented example achieved 95%+ medical accuracy in production. RAG systems are a stated strength: they've deployed pipelines processing 500+ page documents with 90%+ accuracy and direct source citations.

TechEniac also delivers SaaS infrastructure and scaling—multi-tenant architecture, subscription billing, role-based access control, and API design on AWS or GCP, engineered to grow from 100 to 100,000 users. The tech stack is consistent across projects: Next.js and React Native on frontend; Node.js, Python, FastAPI, and NestJS on backend; Pinecone, Weaviate, Qdrant, and Supabase Vector for vector databases; MongoDB, PostgreSQL, and Redis for relational storage; AWS and GCP for cloud infrastructure; Docker and Kubernetes for containerization.

Notable work

SolidHealth AI, a HealthTech platform in the USA, integrates with 25,000+ healthcare providers via FHIR using a multi-agent LangGraph architecture with self-correcting fact-checking. It dynamically switches between Gemini and Llama 3.3 for cost optimization and achieved 95%+ medical accuracy, 40% cost reduction, and HIPAA compliance with integrations into Epic, Cerner, and Allscripts.

A MarTech platform built for French creators features a smart link engine with <200ms global response time, AI content verification using Gemini vision models, and bulk link generation that processes hundreds of smart links in minutes on AWS Kubernetes. It scaled to 10,000+ creators, delivered a 50% engagement increase, reduced setup time by 97%, and maintained 99.9% uptime.

An anonymized FinTech project built a RAG-powered mortgage underwriting assistant that processes 500+ page PDFs, scanned images, and video modules with grounded answers and page citations on serverless AWS Lambda architecture. Results included 85% faster retrieval, 90%+ compliance accuracy, 3x document capacity, and 35% infrastructure savings.

Workzona, a social platform for skilled blue-collar workers in New Jersey, included portfolio-based profiles and AI-powered post generation from uploaded work images.

Other named projects include CloseChat.ai (website and Shopify app), RGuroo (student and teacher management dashboard), and Avakeen Fashion Store (Swedish e-commerce platform for seasonal clothing).

How they work

TechEniac structures engagements in four phases: Research & Alignment (requirements, architecture, AI model decisions, wireframes, sprint plan, budget); Strategy & Design (system architecture, database schema, AI pipeline design, API contracts, UI/UX); Development & Iteration (two-week agile sprints, working software at sprint end, concurrent AI integration); and Quality, Delivery & Ongoing Support (QA, staging review, production deployment, monitoring, 30 days of post-launch support). Every engagement includes a dedicated project manager, structured sprint planning, and direct access to engineers. The company emphasizes long-term partnerships rather than one-off projects and notes that 95% of clients are SaaS founders, so the team already understands SaaS patterns. TechEniac's average client relationship spans 18+ months. The site mentions a 7-day risk-free trial and free 30-minute strategy sessions.

Team and credentials

TechEniac is rated 5.0 on Clutch (10 reviews) and 5.0 on GoodFirms (10 reviews). The company has offices in Ahmedabad, Gujarat, India and Bayville, New Jersey, USA. Team size appears to be in the 51-200 range based on mentions of "30+ hire dedicated developers" and "5+ SaaS developers" across service pages. No founding year, founder names, or specific certifications (ISO, SOC 2, HIPAA) are stated in the source material, though one healthcare project achieved HIPAA compliance. The company claims 100+ satisfied clients including "leading tech firms."