Frequently Asked
Questions

Thinklar is an Enterprise Technology Company that designs, builds, and deploys AI systems, managed IT services, custom software, mobile apps, cloud infrastructure, and digital marketing solutions for businesses globally. We specialize in Agentic AI, EAOS, HMAS, and end-to-end enterprise technology transformation.

We work across Financial Services, Healthcare, Retail, Manufacturing, Logistics, Technology, Government, Education, and Professional Services. Our frameworks are industry-agnostic, but we bring deep domain expertise in each vertical through our specialist consulting teams.

Thinklar is headquartered in Noida, India with team members across major Indian cities. We work with enterprises globally — our delivery model is remote-first and we've successfully delivered projects across North America, Europe, Southeast Asia, and the Middle East.

The fastest way is to book a free Strategy Session through our contact page. In 60 minutes, we'll understand your goals, assess your current state, and outline an initial roadmap. There's no obligation — it's a working session, not a sales call.

EAOS (Enterprise Autonomous Operating System) is a comprehensive intelligence layer spanning your entire enterprise. Unlike point AI tools that solve isolated problems, EAOS connects all your agents, data sources, workflows, and business systems into a unified autonomous environment that can reason, plan, and execute across departments simultaneously.

HMAS (Hierarchical Multi-Agent Autonomous Systems) is our proprietary architecture for coordinating hundreds of specialized AI agents. It organizes agents in a Chief → Domain → Task → Infrastructure hierarchy, ensuring clear accountability, specialized expertise, and enterprise-grade scalability. You need HMAS when single-agent solutions can't handle cross-functional complexity.

We are fully model-agnostic. Through our AI Gateway, we support all major LLMs: OpenAI GPT-4o, Anthropic Claude, Google Gemini, Meta Llama, Mistral, Qwen, Cohere, and custom fine-tuned models. Our Gateway enables intelligent routing, cost optimization, and automatic fallback across providers.

An AI Gateway is a centralized control plane for all your LLM traffic. It handles model routing, rate limiting, cost tracking, prompt injection defense, audit logging, and compliance controls. If you're using more than one AI model in production — or plan to — you need a Gateway.

A focused MVP — whether an AI agent system, a custom software product, or a managed services onboarding — typically takes 4–8 weeks. Larger enterprise-wide implementations range from 3–12 months depending on scope, integrations, and team size. We'll give you a precise timeline after the initial assessment.

We integrate with the full enterprise stack: Salesforce, SAP, Oracle, Microsoft Dynamics, ServiceNow, Workday, Jira, Confluence, Slack, custom databases, data warehouses (Snowflake, BigQuery, Databricks), legacy ERP systems, and any REST/GraphQL/gRPC API.

Both. We can extend your existing technology investments (Azure OpenAI, AWS Bedrock, GCP, existing ERPs) with our solutions, or design a full custom architecture from the ground up. We'll recommend the right approach based on your current infrastructure, budget, and timeline.

Most engagements follow four phases: (1) Discovery & Assessment — understanding your current state and defining the solution; (2) MVP Build — delivering the first production release; (3) Scale & Integrate — expanding across departments or channels; (4) Ongoing Support — monitoring, optimization, and iteration.

Security is designed into every layer. We implement encryption at rest and in transit, RBAC, audit logging, data residency enforcement, and PII masking. For AI systems we add prompt injection defense and agent action controls. We operate within your existing security perimeter — your data never leaves your control boundary without explicit authorization.

We support SOC 2 Type II, ISO 27001, GDPR, HIPAA, CCPA, and industry-specific frameworks including RBI, SEBI, IRDAI (India) and FINRA/SOX (US). Our governance documentation covers audit trails, explainability logs, and the records needed for regulatory audits.

Yes, but only within policy boundaries you define. Our architecture supports both fully autonomous and human-in-the-loop modes at the task level. You can configure which actions require approval, set spending limits, restrict data access, and define kill switches — full control without sacrificing automation value.

We offer three engagement models: (1) Fixed-scope projects — for well-defined deliverables with a clear timeline; (2) Retainer model — for ongoing development, managed services, and iteration; (3) Outcome-based — for select engagements where we price against measurable business outcomes. We'll recommend the right model during your Strategy Session.

Our minimum project engagement is ₹15L / $18K USD. This ensures we can deliver enterprise-grade architecture and quality. Retainer engagements start from ₹4L / $5K USD per month. For startups or early-stage organizations, we offer structured assessment packages starting at ₹2.5L.

Yes. We offer ongoing retainers covering system monitoring, performance optimization, bug fixes, feature iterations, and quarterly reviews. Most clients retain us post-launch because complex systems need continuous attention to stay performant and cost-efficient.

Absolutely — this is our recommended approach. We design all systems with a modular architecture so you can start with a single high-value use case, prove ROI, and expand systematically. Starting small reduces risk and builds organizational confidence before a larger rollout.