Chatbot development companies are not all selling the same thing. Some build custom conversational software, some configure a chatbot platform, and others sell a product for website sales or support. This comparison keeps the ten original entries in order but separates their current offers so you can match the provider to the work.
Reviewed October 5, 2026. Current official destinations were checked for each entry. Drift now points to Salesloft; the Codete destination now points to Exadel. Unsupported old hourly rates, minimum budgets, employee counts, city claims and the claim of a scored 100-factor ranking have been removed. Existing images remain historical website captures or illustrations, not evidence of today’s interfaces or a hands-on test by us.
Compare service companies, platforms and products
| Original entry | Current offer checked | Buying question |
|---|---|---|
| InData Labs | Custom development | What is included in the proposed implementation and ongoing support? |
| Yellow Systems | Broader ML development | What is included in the proposed implementation and ongoing support? |
| Appinventiv | Custom development | What is included in the proposed implementation and ongoing support? |
| WotNot | Platform plus implementation | What is included in the proposed implementation and ongoing support? |
| Softweb Solutions | Service evidence is limited in this review | What is included in the proposed implementation and ongoing support? |
| Drift / Salesloft | Conversational sales product | What is included in the proposed implementation and ongoing support? |
| Streebo | Conversational AI and prebuilt bots | What is included in the proposed implementation and ongoing support? |
| Chatbots.Studio | Chatbot development services | What is included in the proposed implementation and ongoing support? |
| Codete / current Exadel destination | Changed identity; broader engineering offer | What is included in the proposed implementation and ongoing support? |
| Unibot | Brand and messaging chatbots | What is included in the proposed implementation and ongoing support? |
1. InData Labs
InData Labs has a current dedicated AI chatbot service page covering consulting, foundation-model selection, model training, API development and deployment. It describes integration with CRM, ERP, databases and other systems. That establishes a custom-build service rather than simply a packaged website widget. It does not establish the cost, accuracy or legal suitability of a particular implementation.
What to ask: Ask which knowledge sources the bot will use, how access permissions will be enforced and how answers will be evaluated. Separate a retrieval-based assistant from a fine-tuned model, and agree who maintains the connectors and source documents.
Read the current official destination.
2. Yellow Systems
Yellow’s machine-learning service page includes chatbots alongside recommendation systems, prediction, fraud detection and computer vision. It discusses building, deploying and maintaining ML systems and integrating output through APIs or other existing tools. A chatbot is one part of that broader offer; the page is not evidence of a packaged chatbot plan or a fixed build price.
What to ask: Request a proposal for the actual conversation use case. Clarify whether the work needs machine learning at all, which systems will be connected and how the provider will measure a useful answer versus a confident but wrong one.
Read the current official destination.
3. Appinventiv
Appinventiv’s current AI chatbot page describes consulting, conversation design, architecture, custom development and integrations. It presents web, mobile and voice deployment and connections to enterprise systems. Compliance language on a marketing page is not a compliance determination for your project, and the old article’s budget and headcount table has not been retained as current evidence.
What to ask: Define the channels and permitted actions before choosing an architecture. For a bot connected to CRM, tickets or payments, require authentication, role checks, approval steps where needed and a record of what the bot changed.
Read the current official destination.
4. WotNot
WotNot currently presents a no-code AI-agent platform for support, lead generation and other workflows. Its homepage describes a bot builder, knowledge-base setup, live chat and analytics, plus an option for its experts to handle implementation. Buying access to the platform and buying a custom implementation are different scopes.
What to ask: Check the current plan’s channels, usage limits and integration support. Ask how human handoff works, which data is retained and how you export flows or knowledge if you leave. Do not assume implementation work is included in every subscription.
Read the current official destination.
5. Softweb Solutions
The current Softweb page is titled AI-powered chatbot development and includes bot-development and enterprise-solution categories. The readable content in this review was limited and mainly included testimonials and category labels. That supports a current service-page destination but does not clear the old detailed features, office claims, hourly rate or minimum budget.
What to ask: Ask for a current service outline, architecture and a comparable project the company is permitted to show. Confirm the supported channels and integration responsibilities directly; do not treat testimonial outcomes as a forecast for your own build.
Read the current official destination.
6. Drift / Salesloft
The old Drift custom-chatbot destination now points to Salesloft’s Drift product page. It is presented as a conversational product in the Salesloft platform, not a general custom software agency. The original company entry is retained to explain the changed destination and the product-versus-service distinction.
What to ask: Evaluate Drift when the need is website conversations and a sales workflow. Check current package terms, CRM compatibility and routing requirements. If you need an assistant for a bespoke internal application, do not assume this product replaces a custom engineering engagement.
Read the current official destination.
7. Streebo
Streebo’s current page describes conversational AI, chatbots and virtual agents, a library of pre-trained bots, and live-agent support. It names NLP engines and connectors in its service description. Those are vendor descriptions of capabilities; they do not establish that every connector, engine or deployment model is included in a quote.
What to ask: Distinguish configuration of a prebuilt bot from custom development. Ask which components are maintained by Streebo, the underlying platform or your team. Test escalation, permissions and knowledge freshness in the proposed environment.
Read the current official destination.
8. Chatbots.Studio
Chatbots.Studio’s current site presents chatbot development and use cases across sectors such as banking, retail and telecommunications. It describes bot roles including lead generation, customer support and connecting users to live agents. Its testimonials and historical portfolio are not independently verified outcome predictions for a new project.
What to ask: Ask for the current team, supported messaging channels and a relevant integration design. A support bot that reads public FAQs has different data and security needs from a bot that shows account details or handles transactions.
Read the current official destination.
9. Codete / current Exadel destination
The original Codete healthcare-chatbot URL now resolves to Exadel’s digital engineering site. Exadel’s November 2022 company-issued acquisition announcement identifies the purchase of Codete. The current site covers AI-enabled product engineering, AI engineering, data and digital experiences. This is not evidence that the old Codete chatbot article remains a current standalone service offering.
What to ask: Confirm the current contracting entity and team, then request a chatbot-specific scope. For healthcare data, define what the bot may access and disclose, how incidents are handled and which regulatory obligations apply before connecting live records.
Read the current official destination.
10. Unibot
Unibot’s current site describes creating chatbots for communication between brands and people. Its process covers bot idea, script design, additional modules, testing and deployment to a messaging platform. It shows customer-service and ecommerce use cases. The page does not establish a universal modern LLM architecture, current price or guarantee of platform approval.
What to ask: Start with the exact messaging channel and conversation design. Check whether the project is a scripted bot, an AI assistant or a combination, and verify current platform requirements, support ownership and data-retention terms before launch.
Read the current official destination.
The image below is retained from the earlier article. A fresh Unibot website capture could not be obtained during this review.
Decide what the chatbot is allowed to do
Begin with a small set of user intents. A bot answering public product questions is different from one that reads account records, creates support tickets or changes an order. Separate read-only answers from actions, identify the people who can authorize those actions and decide which steps require a human. Avoid giving a model broad access just because a connector exists.
Document the knowledge sources, freshness rules and access boundaries. A bot should not reveal a restricted document to someone who cannot open it. Test whether it cites the right source, admits missing information and hands off rather than inventing policy or prices. The provider should explain how retrieval, prompts, model choice and output checks support those behaviors.
Custom build or chatbot platform?
A platform can be practical when supported channels and connectors cover the job, but include subscription, usage, implementation and ongoing maintenance in the comparison. A custom build may offer more control over data and workflow, while leaving you responsible for infrastructure, monitoring and upgrades. Ask what you can export and what you own if the relationship ends.
For workflows outside the conversation itself, compare our automation tools guide. For an internal app or portal around the bot, the app builders comparison covers another part of the decision. Neither category replaces the need to design and test the chatbot’s actual conversation and permissions.
Evaluate with a bounded pilot
Use representative questions, including ambiguous requests, outdated information, requests for private data and instructions hidden in retrieved documents. Measure correct answers, grounded answers, safe handoffs and unauthorized actions separately. Speed alone is not a useful success measure if the bot confidently gives the wrong answer.
Include the people who will maintain the bot. They need a way to update knowledge, review failures, revoke access and return to human support if something breaks. Agree on escalation responsibilities and how you will track changes to models, prompts, connectors and source content.
Compare the complete proposal cost
Ask for discovery, conversation design, integrations, testing, hosting, model usage, platform licensing and maintenance as separate line items. A low initial quote may exclude the parts that make the bot safe to operate. This review does not clear the old rate tables or establish current prices. Quotes should describe scope and assumptions, not just an hourly number.
Frequently asked questions
Is every entry a chatbot development agency?
No. WotNot is a platform with an implementation option, and Drift is a product in Salesloft’s offer. Other entries present development or broader engineering services. Compare the exact contract, not the category label.
Does an official service page prove the bot will be accurate?
No. It establishes an advertised service. Accuracy, permissions, integration behavior and maintenance need evaluation on your use case with acceptance checks.
Can a chatbot replace human support?
Some conversations can be automated, but plan a useful handoff for unresolved questions, sensitive decisions and failures. Do not promise a universal replacement before testing.
What changed in the Codete and Drift entries?
The old destinations no longer represent the same standalone framing. Drift leads to Salesloft’s product page; Codete leads to Exadel, whose acquisition announcement names Codete. Verify the current offer and contracting entity before using an old recommendation.
See the company-issued Codete acquisition announcement for the identity transition.
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