Solution · AI Internal Tools

AI internal tools, built around how your team actually works.

Custom internal AI tooling — LLM cost dashboards, RAG knowledge assistants, eval harnesses and copilots — engineered to run on your own infrastructure. And while you're here, our free LLM Token Counter is live below.

Talk to an architect → Try the free token counter

Senior-only India team · NDA in 4 hours · D-U-N-S® verified · runs on your cloud

Free tool · Live now llmtokencounter.ecorpit.com

LLM Token Counter & API Cost Calculator

Count tokens for every major model — GPT-5, Claude, Gemini and Llama — side by side, and project API costs before you send a single request. Free, no signup, runs in your browser.

  • Token counts across GPT-5, Claude, Gemini & Llama
  • API cost projection before you send
  • Side-by-side model comparison
Open the tool

What we build

Internal AI tools we deliver for teams

From cost visibility to knowledge assistants — the internal tooling that makes AI useful, governable and cheap to run.

  • LLM cost & token dashboards

    Live visibility into token usage and spend across models, teams and features — so AI cost never surprises finance.

  • Internal RAG & knowledge assistants

    Search and answer over your own docs, tickets and wikis — grounded in your data, with citations your team can trust.

  • Prompt & eval harnesses

    Version prompts, run regression evals and catch quality drops before users do — quality you can measure, not guess.

  • Model comparison & routing

    Compare GPT, Claude, Gemini and open models side by side, and route each request to the best model for the job and budget.

  • AI ops & observability

    Latency, failure, drift and guardrail dashboards so your AI features stay reliable in production, not just in the demo.

  • Internal copilots & assistants

    Role-specific assistants wired into your tools and workflows — drafting, summarising and acting where your team already works.

Why internal

Why teams build internal, not buy another SaaS seat

  • Your data stays yours

    Tools run on your own cloud and infrastructure, so prompts and records never leave your perimeter — built for DPDP, GDPR and enterprise data-residency.

  • Cost you can actually see

    Token and API spend is metered, attributed and capped — no opaque per-seat SaaS bill that scales faster than the value.

  • Fits your stack, not the other way around

    Integrated with your auth, databases and internal systems — so adoption is friction-free and the tool does real work on day one.

FAQ

AI internal tools, answered.

The questions teams ask before they build — and before they use the free token counter.

What is an AI internal tool?
An AI internal tool is custom software your team uses internally to work with AI and large language models — token and cost dashboards, knowledge assistants (RAG), prompt and eval harnesses, model-comparison tools and AI ops dashboards. Unlike off-the-shelf SaaS, it runs on your own infrastructure and plugs into your existing systems.
Is the LLM Token Counter free?
Yes. Our LLM Token Counter & API Cost Calculator is completely free with no signup — count tokens across GPT-5, Claude, Gemini and Llama and project API costs before you send a single request.
Which models does the token counter support?
GPT-5, Claude, Gemini and Llama, side by side. You get a per-model token count and an API-cost projection for each, so you can compare and budget across providers in one place.
Do you build custom internal AI tools, or only free ones?
Both. The free tools show how we work; for production, eCorpIT builds bespoke internal platforms — cost dashboards, RAG assistants, eval harnesses, copilots — on your own stack, delivered by senior engineers.
Is our data private if you build a tool for us?
Yes. We design internal tools to run on your own cloud or on-prem infrastructure, so prompts, documents and records stay inside your perimeter — important for DPDP, GDPR and enterprise data-residency requirements.
How long does a custom internal tool take to build?
Most internal tools ship a usable first version in weeks, not months. After a short discovery call and an NDA, we return a scoped, fixed estimate within 24 hours.
Which AI stack do you use?
We work across Claude, GPT, Gemini and open models like Llama, with RAG, vector databases, evals and guardrails — chosen per use case rather than locked to a single vendor.

Build your internal AI tool with a senior team.

Tell us the workflow you want to make faster, cheaper or safer with AI. NDA in 4 hours, a scoped fixed estimate in 24.

Talk to an architect → Open the free tool