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How NeoPhoenix compares — in plain words
There are three kinds of company you could buy from instead of us. Here is who they are, who they suit, and where we are different.
| Global enterprise AI search and knowledge platforms(e.g. Glean, Vectara, Guru; Onyx as the open-source option) | Global agent platforms(e.g. Kore.ai, Ema, Yellow.ai, C3 AI; Cohere for private models) | Custom AI engineering firms(e.g. LeewayHertz, Quantiphi, Fractal, and many Indian IT services firms) | |
|---|---|---|---|
| Who they suit | Large companies with global IT teams and budgets to match | Large enterprises automating customer service or IT at scale | Companies that want a one-off system built to spec |
| Where your data runs | Mostly their cloud; private or on-prem on enterprise tiers | Mostly their cloud; private options at enterprise pricing | Wherever you pay them to put it |
| Who writes the rules | IT configures permissions; compliance logic is in the model’s hands or yours to build | Platform guardrails, configured per project | Built once; changes are a new project |
| India specifics | Global products; India-specific law and documents are your problem | Same | Depends on the firm |
| Time to first department | Months, with an integration partner | Months | 3–9 months |
| Typical entry price | Set for the top 150 | Set for the top 150 | Project-priced; every change billed |
| NeoPhoenix |
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Global enterprise AI search and knowledge platforms
(e.g. Glean, Vectara, Guru; Onyx as the open-source option)
- Who they suit
- Large companies with global IT teams and budgets to match
- Where your data runs
- Mostly their cloud; private or on-prem on enterprise tiers
- Who writes the rules
- IT configures permissions; compliance logic is in the model’s hands or yours to build
- India specifics
- Global products; India-specific law and documents are your problem
- Time to first department
- Months, with an integration partner
- Typical entry price
- Set for the top 150
Where NeoPhoenix is different
- One product, both jobs — answers from your documents (Vectalk) and work done by agents (Neo Agents) on one platform.
- Built for India’s rules and documents — DPDP, RBI, SEBI, IRDAI as policy; Tally and SAP connectors; Indian languages.
Global agent platforms
(e.g. Kore.ai, Ema, Yellow.ai, C3 AI; Cohere for private models)
- Who they suit
- Large enterprises automating customer service or IT at scale
- Where your data runs
- Mostly their cloud; private options at enterprise pricing
- Who writes the rules
- Platform guardrails, configured per project
- India specifics
- Same
- Time to first department
- Months
- Typical entry price
- Set for the top 150
Where NeoPhoenix is different
- Your servers or your cloud, by default — not as an enterprise add-on.
- First department live in 3 weeks — the same product every customer runs, configured for you.
Custom AI engineering firms
(e.g. LeewayHertz, Quantiphi, Fractal, and many Indian IT services firms)
- Who they suit
- Companies that want a one-off system built to spec
- Where your data runs
- Wherever you pay them to put it
- Who writes the rules
- Built once; changes are a new project
- India specifics
- Depends on the firm
- Time to first department
- 3–9 months
- Typical entry price
- Project-priced; every change billed
Where NeoPhoenix is different
- Fixed rules written as policy — enforced before the AI acts; your team can change them without us.
- Pilots from ₹6 lakh a year — licence + usage + one-time setup, not a project fee.
Where they are better
Where they are better than us
A 5,000-person company with a global IT team will get more connectors and a bigger partner ecosystem from the global platforms. If that is you, you are probably already their customer. We are built for the companies they were not built for.