Hyperparameter Technology

What is Hyperparameter Technology?

Hyperparameter Technology was established in 2019; the company operating it is Hyperparameter Technology (Shenzhen) Co., Ltd., with the English brand name Parametrix.ai.

The company focuses on integrating AI with Game Agents in a deep way, providing game developers with robotic players, intelligent NPCs, and sophisticated simulation solutions, rather than chat assistants for individual users.

Product positioning

• The target clients are primarily game developers, publishers, research institutions, as well as industry clients that require multi-agent simulation.
• The core goal is to enable agents to exhibit appropriate intensity, anthropomorphic behavior, collaborative capabilities, and continuous interaction in real-time gaming environments.
• The product is integrated as part of a corporate project, and it needs to be customized in line with specific game rules, client and server requirements, operational objectives, and security standards.
• Currently, there is no self-registration option for individuals, no public console, no standard subscription plans, and no direct download link available.

Current main products

Main functions

Game Bot intelligent opponent

• AI opponents simulate the actions and decisions of human players, while striking a balance between the degree of human-like behavior and the intensity of the game.
• The system can dynamically adjust its performance based on the player’s status, thereby avoiding the use of fixed scripts and a single difficulty level in every match.
• Multiple styles and script configurations can be used for beginner guidance, regular matches, competitive challenges, and specific events.
• Dynamic difficulty must have fair boundaries to prevent players from thinking they are in a real-game scenario or from gaining unfair advantages in competitive settings.

Game Bot intelligent teammate

• AI teammates are used to understand a player’s tactical intentions and to respond to commands, positioning, objectives, and coordination needs.
• Teammates with different styles can adapt to the player’s fighting habits, serving as substitutes, companions for playing, or training partners.
• When a human player goes offline, the robot can take over the character, preventing the team from losing the full experience due to a missing member.
• Disconnection should be clearly indicated in the interface, and it should limit the account’s earnings, ranking, as well as have an impact on anti-cheat measures.

Expansion of the player ecosystem

• Game Bot can supplement matches when there are not enough players in the pool, during the initial phase of a particular game mode, or during periods of low activity.
• Robots can also initiate interactions between different systems, provide training subjects, and conduct low-cost automated testing for new gameplay scenarios.
• Companies need to continuously monitor the proportion of real players, wait times, user retention, satisfaction levels, and complaints, rather than focusing solely on the number of games played.

Game NPC long-term memory

• Game NPCs operate in accordance with the design plans and core gameplay mechanics; they are able to remember character relationships, events, and player interactions over a longer period of time.
• Memory allows characters to build on the context from previous conversations or actions, reducing the sense of disconnection that occurs every time they meet, as if it were their first interaction.
• For memory content, it is necessary to establish mechanisms for setting capacity, handling decay, correcting errors, and deleting data, in order to prevent erroneous information from permanently affecting the behavior of the character.

Multimodal scene understanding

• Smart NPCs can understand the current scenario by taking into account the game visuals, status data, character settings, and player behavior.
• The output is not limited to conversations; it can also trigger actions, changes in relationships, responses to tasks, and group events.
• Errors in visual or status recognition can lead to inappropriate reactions; therefore, rule verification and fallback mechanisms are still essential for the core gameplay.

Emergent narratives and group NPCs

• Multiple NPCs in the same world retain their goals, relationships, and memories, enabling interactions and events that are not predetermined line by line.
• Such capabilities are suitable for enriching open worlds, town ecosystems, character relationships, and content that allows for repeated play.
• Emergence does not mean complete laissez-faire; planning still requires establishing rules for the world, boundaries for characters, safeguards for content, and narrative anchors.

Complex environment simulation

• The Simulation Agent runs multiple agents in parallel within a virtual environment, allowing for the observation of resource allocation, collaboration, competition, and collective behaviors.
• Technologies such as optimization algorithms, heuristic algorithms, deep learning, multi-agent reinforcement learning, supervised learning, and path planning can be employed.
• Simulation results can help compare strategies, but model assumptions, reward design, and data biases can directly affect the conclusions.

Strategy generation and optimization

• The system generates resource allocation, task scheduling, and game-theoretic planning solutions for heterogeneous scenarios.
• Before going live, companies can use a simulation environment to compare the costs, risks, stability, and performance under extreme conditions of various strategies.
• High-impact decisions cannot be based solely on simulation outputs; domain experts must verify the assumptions and perform real-world calibration.

How to understand COTA and Knit?

COTA, Knit, and GameBot are related to the company’s three core capabilities; however, this does not mean that all customers will receive the same models, platforms, or deployment methods.

Applicable game types

• MOBA: Team collaboration, opponent strength, covering positions, taking over when a player is offline, and tactical training.
• FPS: Navigation, target recognition, shooting behavior, team coordination, and opponents in various styles.
• SLG: Resource allocation, urban development, multi-party gaming, and long-term strategy simulation.
• RPGs and open worlds: long-term memory, character relationships, dynamic tasks, and emergent narratives.
• Recreational and social games: companionship during gameplay, setting a friendly atmosphere, guiding beginners, interaction between sessions, and ecosystem enhancement.
• AI-native games: They make agents an integral part of the gameplay and of the evolution of the world, rather than acting merely as background tools.

Enterprise onboarding process

1. Identify business issues such as matching delays, disconnections, poor experience at lower levels, repeated NPC behavior, and the costs associated with automated testing.
2. Identify the target metrics and performance indicators, including wait time, retention rate, satisfaction level, fairness, complaints, and server costs.
3. Submit the game type, platform, rules, concurrency level, region, data requirements, and deployment needs to the business team.
4. Both parties define the agent’s roles, input states, executable actions, intensity ranges, content boundaries, and manual control.
5. Clients, servers, or simulation interfaces are connected to an isolated environment, and training and testing are carried out using anonymized data.
6. Test scenarios such as normal games, poor network connections, disconnections, abnormal conditions, malicious inputs, cheats, and version updates.
7. A limited-scale grayscale rollout is carried out to examine the impact of the human-based approach versus the AI solution on retention, interaction, user experience, and fairness.
8. Once the acceptance criteria are met, the traffic volume is increased gradually, while drift, costs, complaints, and security incidents are continuously monitored.

Input, processing, and output

Which customers are suitable?

• Companies that need to deploy a large number of AI opponents, teammates, or supporting characters in a commercial game on a stable basis.
• The goal is to enhance the open-world and RPG elements of NPC games through long-term memory and multimodal understanding.
• R&D and quality assurance teams that require automated gameplay, stress testing, and strategy validation.
• Universities and institutions that study multi-agent collaboration, competition, economic behavior, and collective emergence.
• Interdisciplinary projects that require mapping resource scheduling, traffic, or social rules to a simulation environment.

Public case studies and scale information

• The company revealed that its Game Agent is in operation within a number of games with high daily user counts, and it is available in various countries and regions.
• The list of public clients includes several large game development and distribution companies, but the specific scope, model, and contract for each project vary.
• The Game Bot page displays metrics such as retention, interaction, likes, and complaints; these represent the results of specific projects and cannot be directly applied to other games.
• The purchaser should request benchmarks and verifiable pilot projects that are similar to its own product categories, geographic area, user base, and objectives.

Product advantages

• It covers robot players, intelligent NPCs, and complex simulations, and can scale from a single character to a multi-agent ecosystem.
• I have experience in running commercial games on a large scale, with a focus on concurrency, stability, latency, and ongoing operation, rather than just visual presentation.
• It supports various game genres such as MOBA, FPS, SLG, and RPG, allowing for customization to suit different rules and interaction methods.
• Combine reinforcement learning, large language models, multimodal understanding, and engineering platforms to use different technologies for handling various decision levels.
• Enterprise projects offer continuous technical support, but the specific SLAs, scope of support, and liability provisions need to be confirmed through a contract.

Capacity limits and risks

• AI players may affect the fairness of matches, rankings, the economic system, and player trust; therefore, clear identifiers and operational rules must be provided.
• If dynamic intensity is based solely on retention as the goal, it may lead to deliberate manipulation of the experience or unfair treatment of different players.
• Generative NPCs may contain factual errors, inappropriate content, shifts in character design, and narrative conflicts.
• Long-term memory increases the risks of personal data exposure, faulty memories, and information leakage across different roles.
• Multi-agent simulation is a simplified model of reality; errors in the reward function and environmental assumptions can lead to seemingly reasonable but incorrect conclusions.
• The performance figures shown on the product page are based on specific examples; the actual benefits depend on the type of game, the player base, and the quality of implementation.
• Game updates change maps, skills, values, and strategies; therefore, the agents need to be subjected to regression testing and continuous retraining.

Prices and Purchases

Currently, there is no public free version, no trial quota, no pricing based on seats or calls, no standard billing page, and no individual packages that can be purchased directly.

What needs to be confirmed when making a purchase?

• Are the costs calculated based on projects, concurrent agents, daily active users, number of games played, server resources, model calls, or annual licenses?
• Are there additional charges for training, customization, deployment, cloud resources, continuous updates, technical support, and version migration?
• Whether the solution is deployed in the customer’s environment, a dedicated cloud, or the provider’s environment, as well as data cross-border and regional restrictions.
• Service availability, latency, peak concurrency, fault recovery, event notification, and liability for breaches.
• Ownership of game data, player data, model parameters, custom code, generated content, and improvements.
• Return of data, deletion of data, deactivation of models, migration support, and refund arrangements after the project is terminated.

API, SDK, and open-source status

Privacy and data security

• The privacy policy covers various service scenarios such as accounts, devices, logs, transactions, interactions, searches, the online environment, and customer service communications.
• Specific products will only process the necessary information when the corresponding functions are activated or the services are used; nevertheless, companies should obtain a clear list of the data collected.
• The service may use cookies, third-party login mechanisms, security features, analytics tools, payment systems, or other SDKs; the specific integration methods vary depending on the individual product.
• Personal information collected within China is stored in China; if it is necessary to transfer such information across borders, additional authorization must be obtained and legal requirements must be met.
• Information is usually retained for the shortest period necessary to achieve its intended purpose; it is deleted or anonymized after the account is closed or when the deadline expires, unless there are legal requirements for retention.
• Users have the right to view, copy, transfer, correct, supplement, delete, withdraw consent, and request explanations regarding automated decisions.
• The privacy policy was updated in 2022; corporate clients are required to obtain the data processing attachments, sub-processors, and security documents specific to the service in question.

Protection of minors

• Users under the age of fourteen must have their guardians read the rules regarding child privacy protection and obtain their consent before submitting any information.
• The service may implement anti-addiction measures based on real-name information, login time, duration of use, and behavior data.
• In certain scenarios, facial recognition may be used to compare data with police databases, and the relevant information constitutes sensitive personal data.
• Agents intended for underage players must prevent induced consumption, emotional dependency, inappropriate conversations, and excessive personalization.

Terms, Copyright, and Commercial Use Notes

• The user agreement permits certain online services to charge fees, but requires that such information be clearly indicated on the relevant pages.
• Users are not allowed to attack servers, create cheats, exploit vulnerabilities, crack clients, or interfere with the service in any improper manner.
• The text, software, audio, images, and charts on the website are protected by intellectual property rights; any copying or creation of derivative content requires written authorization.
• It is prohibited to modify, rent, sell, distribute, perform reverse engineering on, or decompile the relevant software without authorization.
• The public agreement does not specify the ownership of the inputs, outputs, custom models, and resulting products of corporate projects; actual cooperation must be governed by specific contractual arrangements.
• There are no publicly established uniform rules for refunds; matters related to cost reimbursement, failure of the pilot project, and early termination should be specified in the procurement contract.

Suggestions for corporate pilot programs

1. Start with a low-risk, reversible gameplay scenario or test task that has a historical baseline.
2. Set business metrics as well as protection metrics related to fairness, security, complaints, and costs, in order to avoid optimization focused on just one objective.
3. Use minimized and anonymized data for access, and assign clear identities, permissions, and shutdown conditions to the agents.
4. In a closed environment, extreme players, version changes, network disruptions, malicious inputs, and model loss of control are tested.
5. Clearly explain to players the AI characters and their functions, and provide channels for feedback, exit, and manual appeals.
6. During the grayscale phase, a comparison is made with real humans or the baseline of the old system to determine whether the improvement in user experience holds statistical and business significance.
7. Traffic should only be increased after safety and operational checks have been passed, with the ability to revert quickly retained.

Frequently Asked Questions

Is Hyperparameter Technology an AI tool designed for individuals?

No. It primarily provides enterprise-level Game Agent and simulation solutions to game developers and organizations.

What can a game bot do?

It can serve as an AI opponent, teammate, playmate, backup player, and someone to take over when the connection is lost; it can also assist with automated testing.

What is the difference between Game NPCs and regular script NPCs?

Game NPCs generate interactions by incorporating long-term memory, multimodal scenarios, and the state of the world; their behavior is not determined solely by fixed dialogue trees.

What tasks are suitable for Simulation Agents?

It is suitable for resource allocation, task scheduling, multi-party games, social simulation, and the comparison of strategies in complex environments.

Can COTA be downloaded directly?

No public download link has been found yet. It is currently available through product releases and trial requests; actual use requires confirmation with the team.

Does Hyperparameter Technology offer a free version?

There are no free plans available to individuals or businesses; the products are offered through business partnerships and custom projects.

What is the price of the product?

Not available yet. The price should be determined based on the type of game, its scale, deployment methods, customization options, and level of support provided.

Are public APIs or SDKs available?

No self-service APIs, SDKs, development documentation, or public pricing information were found; the details for enterprise interfaces need to be determined through cooperation.

Are the products of Hyperparameter Technology open source?

There is no evidence indicating that the core product is released under an open-source license; it should be considered proprietary enterprise software and services.

Can AI players be included in ranked matches?

Technical competence does not mean that one can use such abilities without any restrictions; ranking, fairness, identification, rewards, and appeals must all be clearly defined by the game rules.

How to add a FAQ Schema

On the publication page, the aforementioned visible Q&A entries can be formatted as structured FAQ data, while the product details, prices, and interface status remain consistent with those stated in the main text.

Do not include in structured data any undisclosed models, customer outcomes, free quotas, APIs, or download commitments.

Summary

Hyperparameter Technology offers a comprehensive set of game AI capabilities, ranging from real-time gameplay to multi-agent simulations, for Game Bots, Game NPCs, and Simulation Agents.

It is suitable for companies that have clear use cases, data, engineering teams, and the capability for ongoing operations; before making a purchase, it is necessary to conduct pilot tests on a small scale to assess aspects such as experience, fairness, privacy, costs, and contractual rights.