Enhanciar

Company profile:

Startup name: Enhanciar

Tagline: Ask it anything. Hand it the follow-up.

Elevator Pitch: Every team has answers scattered across Slack threads, email, docs and tickets. Enhanciar is a company brain that reads them all, so anyone can ask a question in plain English and get the answer with a link to exactly where it came from. Then hand it the follow-up: it drafts the Gmail reply, the Jira or Linear ticket, the Notion page or the Slack update, and waits until a person approves it. Paid plans from $24 a month; bring your own AI key.

Target Market: Small and mid-size teams, roughly 5 to 200 people, where support, sales, ops, new hires and engineers keep asking each other where something was decided.

How will you make money?: Monthly subscriptions: Solo at $24 a month, Team at $100 a month for up to 10 people, and custom Enterprise plans. Customers bring their own AI key and pay their AI provider directly, so we add no markup on AI usage.

How much capital have you raised?: None

Website: https://enhanciar.in/

City/Country: New Delhi, India

AI-assisted summary:

Enhanciar is an India-built workplace AI product that connects to a company’s knowledge sources—such as Slack, email, documents, tickets, code repositories, and databases—to answer questions in plain language with links back to the underlying sources. (Source: https://enhanciar.in/about) It also aims to move beyond search by drafting operational follow-ups, including tickets, emails, calendar events, documentation, and pull-request reviews. (Source: https://enhanciar.in/)

The problem and target users

Internal knowledge is commonly fragmented across communication tools, documentation systems, support platforms, project trackers, and code repositories, making it difficult for employees to establish what was decided, promised, or previously solved. Enhanciar positions its product around this problem by combining information from sources including Slack, Gmail, Google Drive, Notion, Confluence, Jira, Linear, Zendesk, GitHub, databases, websites, and uploaded files. (Source: https://enhanciar.in/)

The intended users span sales, support, HR and operations, founders, new hires, and engineering teams. (Source: https://enhanciar.in/) For example, the product is positioned to help support teams find precedent in older tickets, founders retrieve decision context, and engineers assess codebase context or review pull requests. (Source: https://enhanciar.in/about)

Product and solution

Enhanciar’s core proposition is a “company brain” that returns answers with cited source material rather than presenting unsupported responses. (Source: https://enhanciar.in/) The company says users can ask questions through its web application, Slack, mobile interface, API, or through Claude and Cursor using its Model Context Protocol (MCP) server. (Source: https://enhanciar.in/)

• It connects to workplace systems including Slack, Gmail, Google Drive, Google Calendar, Notion, Confluence, Jira, Linear, Zendesk, GitHub, Postgres, MySQL, Firestore, websites, and uploaded files. (Source: https://enhanciar.in/)
• It can propose actions such as creating Jira, Linear, or GitHub issues; drafting Gmail replies; posting Slack updates; creating Notion pages; adding Zendesk notes; and scheduling Google Calendar events. (Source: https://enhanciar.in/security)
• Most external actions are designed around an approval queue: users review a proposed action before it runs, while pull-request review can post automatically only for repositories where that setting has been enabled. (Source: https://enhanciar.in/security)
• For engineering teams, the product advertises codebase-aware pull-request review, impact analysis, and access through MCP-compatible AI clients. (Source: https://enhanciar.in/about)

On data handling, Enhanciar says connected-source access is filtered according to source permissions at answer time, and that workspace data is isolated between customers. (Source: https://enhanciar.in/security) It also states that customers can use their own OpenAI, Anthropic, Google, or other provider key, with content sent under the customer’s account with that model provider. (Source: https://enhanciar.in/security)

Business model, pricing signals, and traction

Enhanciar uses a paid, monthly subscription model with a bring-your-own-AI-key approach. (Source: https://enhanciar.in/pricing) Its published USD pricing lists a Solo plan at $24 per month and a Team plan at $100 per month for up to 10 users, while enterprise deployments are custom-priced. (Source: https://enhanciar.in/pricing)

The company says it does not add a markup to model usage, meaning customers pay their AI provider directly in addition to Enhanciar’s subscription fee. (Source: https://enhanciar.in/pricing) According to its public materials, the product has been live since October 2026, is independently built in India, and has no outside funding or sales team. (Source: https://enhanciar.in/about)

Enhanciar’s public security page states that its SOC 2 Type II audit is in progress and that it is not yet SOC 2 certified or ISO 27001 certified. (Source: https://enhanciar.in/security)

Expert take

Enhanciar’s most distinct positioning is not simply enterprise search: it combines source-grounded answers, workflow actions, engineering context, and a low flat-price model aimed at small teams. Its approval-first design is a practical strength for teams wary of autonomous workplace agents.

The main unknown is market proof. As a newly live, independently funded product, Enhanciar will need to demonstrate reliable retrieval quality, permission handling, connector depth, and retention in real customer environments—especially when competing with better-funded enterprise search and AI-agent platforms.

Note: Information based on publicly available sources at the time of writing, and summarized by AI.