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FinRace AI

What FinRace AI is
FinRace AI is a self-hosted platform for Indian financial and legal work, with tools for market research, document analysis, and professional drafting. Its tax features provide deterministic calculations and GST reconciliation, including GSTR-2B matching and flags for Section 17(5) ineligible credits. Statutory and circular citations are checked against retrieved context or a canonical statute list before appearing. It can draft editable .docx legal documents, which an advocate must review and sign before filing. The platform has no case-law, judgment, or tribunal-precedent corpus.
Organizations can generate Tally Prime XML and receive Finacle events through a BIAN-standard webhook. A versioned partner API includes typed Python and TypeScript SDKs and HMAC-signed webhooks. Organization workspaces support roles, scoped API keys, webhooks, usage quotas, retention policies, and data export. The maker says inference runs on self-hosted models without third-party AI calls, product analytics, or tracking scripts. Deployment options include on-premise and air-gapped installations, along with an internet-connected reference cloud deployment. The maker describes tenant isolation, an immutable audit log, a consent ledger, and configurable retention as DPDP-aware design, not a certification.
The Free plan allows 10 Ask queries per minute, 3 document uploads per day, paper trading of up to 100 orders per day, and sandbox financial connectors. The site identifies Swetha Solutions as the maker and lists Hyderabad, Telangana, India as its location.
Who it suits
FinRace AI is aimed at Indian financial and legal professionals, including chartered accountants, tax professionals, law firms, banks, NBFCs, company secretaries, stockbrokers, insurers, and HR teams. Its on-premise and air-gapped deployment options may suit organizations that need those deployment arrangements.
What it does well
- GST reconciliation includes GSTR-2B matching and Section 17(5) flags.
- Statutory and circular citations are checked against reference material.
- Drafted legal documents are editable .docx files.
- Organizations can generate Tally Prime XML and receive Finacle events.
- The partner API includes Python and TypeScript SDKs.
What to know first
- The platform has no case-law, judgment, or tribunal-precedent corpus.
- Draft legal documents require advocate review and signature before filing.
- The Free plan caps uploads at 3 documents per day.
Limits
The Free plan allows 10 Ask queries per minute, 3 document uploads per day, and paper trading of up to 100 orders per day; financial connectors are sandboxed. Drafted .docx legal documents need advocate review and signature before filing, and the platform has no case-law, judgment, or tribunal-precedent corpus.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Free | 10 Ask queries/minute · 3 document uploads/day · paper trading up to 100 orders/day · sandbox financial connectors | Free |
| API trial | 15 days · no credit card required | Free |
| Institutional | Partner API · webhook support · team seats | On request |
As finrace.ai lists them, read 15 Oct 2026. The maker's own page has the final word.
Getting started
- Visit the FinRace AI website.
- Start with the Free plan, which includes sandbox financial connectors.
- Use the web platform on Android, iOS, Linux, macOS, or Windows.
- For organizational deployment, select on-premise, air-gapped, or the internet-connected reference cloud.
- Use organization workspaces for roles, scoped API keys, webhooks, quotas, retention policies, and data export.
Overview
FinRace AI combines tax and GST workflows, statutory research, and legal-document drafting for Indian financial and legal work. It is aimed at professionals and organizations that want those tools with control over deployment and data handling. Its operational breadth is useful, but the absence of case-law research limits its fit for litigation-oriented work.
Key features
Tax features pair deterministic calculations with GST reconciliation, including GSTR-2B matching and flags for ineligible credits under Section 17(5). That makes the platform relevant to accountants and tax teams working through compliance tasks, rather than a substitute for research into judicial decisions.
For statutory and circular research, citations are checked against retrieved context or a canonical statute list before they appear. This provides a grounding step for references within that scope. FinRace AI has no case-law, judgment, or tribunal-precedent corpus, so lawyers whose analysis turns on decisions will need another research tool.
Legal drafting produces editable .docx documents, but an advocate must review and sign them before filing. The drafts can support preparation; they are not ready-to-file legal work on their own.
Organization features include Tally Prime XML generation and a BIAN-standard Finacle event webhook receiver. A versioned partner API includes typed Python and TypeScript SDKs and HMAC-signed webhooks, making it more relevant to organizations connecting financial workflows than to individuals seeking only occasional research.
The maker says inference runs on self-hosted models, with no third-party AI calls, product analytics, or tracking scripts. Deployment can be on-premise or air-gapped; the reference cloud deployment is internet-connected. Per-tenant isolation, an immutable audit log, a consent ledger, and configurable retention are described as DPDP-aware design, not certification. Organization workspaces add roles, scoped API keys, webhooks, usage quotas, retention policies, and data export. These controls may suit organizations with specific deployment and governance needs, but DPDP-aware design should not be mistaken for a certification.
Pricing
FinRace AI uses a freemium model and offers a 15-day trial. Its Free plan costs nothing and includes 10 Ask queries per minute, three document uploads per day, paper trading up to 100 orders per day, and sandbox financial connectors. That is a bounded way to try the workflows, but the query and upload caps may constrain regular professional use. No paid plan price or terms are stated, so paid plans are custom pricing.
Platforms
FinRace AI supports Android, iOS, Linux, macOS, web, and Windows. Its listed platform format is web desktop.
Who it's for
The product describes tools for chartered accountants, tax professionals, law firms, banks, NBFCs, company secretaries, stockbrokers, insurers, and HR teams. It is most compelling for teams combining Indian tax or GST work with drafting, integrations, or a need for on-premise or air-gapped deployment. It is a poor fit when the core requirement is searching case law or getting legal documents ready to file without advocate review and signature.
Pros and cons
- Pro: Deterministic tax calculations and specific GST reconciliation tools, including GSTR-2B matching and Section 17(5) flags, support practical compliance workflows.
- Pro: On-premise and air-gapped deployment, alongside self-hosted inference, gives organizations alternatives to an internet-connected reference cloud deployment.
- Pro: Tally Prime XML generation, a Finacle event webhook receiver, and a versioned API with SDKs and signed webhooks support integration work.
- Con: No case-law, judgment, or tribunal-precedent corpus rules it out for research that depends on judicial authority.
- Con: Drafts require advocate review and signature before filing, so the product does not deliver filing-ready legal documents by itself.
- Con: The Free plan caps queries, uploads, and paper-trading orders, which can limit sustained use.
Alternatives
Tax Research Software is a useful place to compare tax-focused options. Consider Instead if its free plan's unlimited users, entities, and e-file and print file better match a multi-entity filing workflow. TaxPlead is another freemium option, with a free plan offering basic GST and Income Tax research, calculators, and a daily AI-token allowance. Choose LEXinform if its DATEV-oriented research offering and €14.80 a month Zusatzmodul suit your setup. Bizora AI may fit a team seeking a research API: its Fast Tax Research API costs $0.24, paid once, uses prepaid credits, and has no monthly minimum or contract. Croner-i Tax, Taxsutra, Bloomberg Tax, and Tax Analysts Research are other tax-research options.
Verdict
Choose FinRace AI if your Indian financial or legal work needs tax and GST tools, document drafting, or deployment on-premise or in an air-gapped environment. Its combination of compliance workflows and organizational controls is the main reason to choose it. Look elsewhere if your research depends on case law or tribunal precedents, or if you need legal documents ready to file without advocate review and signature.
Verdict
Choose FinRace AI if your Indian financial or legal work needs tax and GST tools, document drafting, or deployment on-premise or in an air-gapped environment. Look elsewhere if your research depends on case law or tribunal precedents, or if you need legal documents ready to file without advocate review and signature.
Questions
Does FinRace AI have a free plan?
Yes. The Free plan includes 10 Ask queries per minute, 3 document uploads per day, paper trading up to 100 orders per day, and sandbox financial connectors.
What does FinRace AI do?
It provides market research, document analysis, professional drafting, deterministic tax calculations, and GST reconciliation for Indian financial and legal work.
Does it include case law research?
No. The platform has no case-law, judgment, or tribunal-precedent corpus.
Where can FinRace AI be deployed?
It supports on-premise and air-gapped deployment. Its reference cloud deployment is internet-connected.
What integrations and API options does it offer?
Organization features include Tally Prime XML generation and a BIAN-standard Finacle event webhook receiver. A versioned partner API includes typed Python and TypeScript SDKs and HMAC-signed webhooks.
Who makes FinRace AI?
The site footer identifies Swetha Solutions as the maker and lists Hyderabad, Telangana, India as its location.
Facts from FinRace AI's own pages
- AI processing
- The maker says model inference uses self-hosted models without external LLM API calls. · finrace.ai, 15 Oct 2026
- API
- A versioned partner API offers typed Python and TypeScript SDKs and HMAC-signed webhooks. · finrace.ai, 7 Oct 2026
- API authentication
- The partner API accepts API keys or session JWTs, with keys generated through organization settings. · finrace.ai, 15 Oct 2026
- API documentation
- The partner API exposes Swagger UI, ReDoc and a raw OpenAPI schema as always-on interactive documentation. · finrace.ai, 15 Oct 2026
- API endpoints
- Documented endpoints cover symbol analysis, intelligence analysis and explanation, knowledge upload/search, and tax/GST tools. · finrace.ai, 15 Oct 2026
- Audit and retention
- The maker describes an append-only audit log, consent ledger and configurable retention policies. · finrace.ai, 15 Oct 2026
- Banking limitation
- The product does not provide Basel III capital-adequacy scoring or AML/CFT watchlist screening. · finrace.ai, 15 Oct 2026
- Banking tools
- Banking features include deterministic DSCR, EMI, FOIR and LTV calculations, credit-appraisal memos and an early-warning system. · finrace.ai, 15 Oct 2026
- Case-law limitation
- The legal research corpus excludes case law, judgments and tribunal precedents and focuses on statutes and circulars. · finrace.ai, 15 Oct 2026
- Citation validation
- Citations are checked against retrieved context or a canonical statute list before being shown. · finrace.ai, 15 Oct 2026
- Company-secretary tools
- Company-secretary features include Companies Act due-date calendars, Section 188 checks, MCA e-form pre-audits and EGM, buyback and ESOP calculators. · finrace.ai, 15 Oct 2026
- Data controls
- The maker describes per-tenant isolation, an immutable audit log, a consent ledger, and configurable retention as DPDP-aware design, not a certification. · finrace.ai, 7 Oct 2026
- Data isolation
- The security architecture uses row-level security and separate vector namespaces or collections for each tenant. · finrace.ai, 15 Oct 2026
- Deployment
- The platform is designed for infrastructure controlled by the customer and supports on-premise and air-gapped deployment. · finrace.ai, 15 Oct 2026
- Download requirements
- The listed Windows target is Windows 10/11 64-bit; macOS builds are universal Apple Silicon and Intel binaries; Linux uses AppImage or .deb. · finrace.ai, 15 Oct 2026
- Downloads
- Native Windows, macOS, Linux and Android builds are marked coming soon; iOS is offered through PWA installation or TestFlight beta. · finrace.ai, 15 Oct 2026
- GST
- GST tools reconcile GSTR-2B with purchase registers, flag Section 17(5) credits, check GSTR-1/3B/9 consistency and validate e-invoice IRNs. · finrace.ai, 15 Oct 2026
- Headquarters
- Hyderabad, Telangana, India · finrace.ai, 28 Sept 2026
- HR features
- HR tools include semantic resume search, structured resume parsing, recruitment Kanban and deterministic payroll with payslip generation. · finrace.ai, 15 Oct 2026
- Independent catalog context
- G2's financial-analytics category page reports 208 tracked products and a 4.46/5 category average rating. · g2.com, 15 Oct 2026
- Independent category listing
- Capterra's artificial-intelligence category page lists a different product named Fin with a 4.5/5 score from 1,153 reviews; this is not FinRace AI. · capterra.com, 15 Oct 2026
- Independent company evidence
- A LinkedIn profile lists employment at Swetha solutions and places the person in Hyderabad, India. · in.linkedin.com, 15 Oct 2026
- Independent research catalog
- G2's AI-powered financial-research theme page shows AlphaSense at 4.6/5 from 356 ratings, FactSet Workstation at 4.2/5 from 71, and Macrobond at 4.7/5 from 51; FinRace AI is not among the three displayed products. · g2.com, 15 Oct 2026
- Independent review coverage
- TrustRadius's home page lists featured products such as AlphaSense, Microsoft Visual Studio Code and Cisco Duo, but no FinRace AI profile is displayed. · trustradius.com, 15 Oct 2026
Where FinRace AI stands on Freedom251
- Tax Research Software#2 of 31