GENiE: your vendor-agnostic AI agent platform
AI transforms how business gets done, but not all changes are for the better. While many solutions can disrupt or complicate your workflows, the GENiE AI agent platform ensures AI adoption brings only positive results. As an embodiment of our knowledge and experience in delivering context-aware, scalable, cost-efficient agentic solutions, GENiE seamlessly integrates into your processes, driving tangible value for your business.
- Field-proven AI technology foundation
- Leaving-no-blind-spots methodology for AI agents’ advanced context engineering
- Accumulated experience of delivering production-grade AI agents
- Coherent AI knowledge management to simplify agents’ adoption
What is GENiE?
GENiE™ is *instinctools’ proprietary solution accelerator for building custom AI agents and multi-agent systems. It’s designed with robust context engineering at its core to make the agentization of your business processes faster, safer, and more precise.
Alexey Spas
GENiE founder, CEO
“
If you want an AI silver bullet to aim at every bottleneck in your business process, you’re in the wrong place. At *instinctools, we prefer staying real rather than sinking to agent washing. With GENiE, we offer our in-depth expertise in building AI agents for business process automation packed into an all-encompassing knowledge management system and a highly customizable AI agent platform. We’re here to transform the way you work, not just add another basic chatbot to your toolset.
What
Is
GENiE?
Is
GENiE?
Benefits our clients are already capitalizing on with GENiE multi-agent AI platform
Agents built on GENiE flawlessly plug in where you need an autonomous AI teammate, without increasing the cognitive load on the humans working alongside them.
As a multi-vendor agentic AI framework, GENiE runs on top of any software foundation you have, without forcing the whole umbrella of costly add-ons on you
From a plethora of component options available on GENiE, we select those that align with your budget to hold the overall AI agent cost at bay
Being an accelerator with complete control over all of the agent’s elements, GENiE introduces precise context calibration to your business workflows
Get your perfectly
suited AI agent
Certified to
the highest
ISO standards
the highest
ISO standards
ISO 27001
Data Security
ISO 9001
Quality Management
ISO 37001
Anti-bribery
ISO 45001
Health & Safety
ISO 14001
Environmental Care
GENiE’s core principles that make it a better choice than a bare-bones AI agent platform
GENiE’s four customizable pillars offer a flexible foundation that adapts to your complex workflows, unique tech stack, enterprise-grade security needs, and compliance priorities. With an open list of options, our agentic AI framework empowers you to quickly create impactful results.
Task-adaptive hybrid
architecture
LLMs excel at approaching the same questions from different perspectives. But when you need agents to act predictably and deliver the same output time after time, they have to be architected accordingly. GENiE features a task-adaptive hybrid architecture that strikes a balance between probabilistic and deterministic approaches, allowing for seamless mixing of both to suit different tasks.
Goal-oriented context management
GENiE draws on our best practices for short- and long-term memory configuration and context engineering to arm your agents with the ability to remember user preferences and the history of multiple conversations and adjust working context to the task at hand. Goal-oriented context management is what transforms an agent from a single-interaction tool into a high-performing powerhouse that takes actions on your behalf and delivers hyper-personalized, context-aware experiences across sessions and workflows.
Event-driven
agentization
We don’t integrate agents for the sake of advanced automation. What we do with GENiE is provide coherent agentization of context-heavy workflows. Where your employees previously struggled to juggle scattered bits of working context, now event-driven and context-aware AI agents step in to decrease humans’ cognitive load without compromising task execution quality.
Cross-platform
integration
Our API-driven accelerator also powers an AI integration platform, enabling hitch-free integration of agents into your heterogeneous software ecosystem. Adherence to an OpenAPI-first design empowers us to speed up development by giving your agents access to thousands of tools in a click, without hard-coding wrappers.
Multi-agent
AI orchestration
Orchestration can make or break your agentic solution. GENiE’s multi-agent orchestration platform serves as a single workspace to leverage strengths and level out shortfalls of both open-source plug-and-play AI frameworks like crewAI, LangChain, Agno, and vendor-specific platforms, such as Azure Agent Framework, AWS Bedrock AgentCore, IBM Agent development kit, and others.
AI
governance
GENiE provides built-in responsible AI mechanisms, including bias detection and mitigation, AI governance and regulatory compliance checkers. We also put transparency on the front burner, offering a selection of visual tools for agent monitoring that visualize its interactions, performance, and spending.
Well-orchestrated,
AI-driven processes
are just a click away
Human expertise
brings coherence
to disjointed AI
infrastructure
GENiE is the pepper to the salt of our production-focused agentic AI services
As seasoned AI practitioners, we don’t gamble when it comes to reorganizing your business processes with agentic interaction.
Data preparation
Since creating AI agents with raw enterprise data is no better than building sandcastles, we start by preparing your data for AI to minimize training cycles, reduce computation time, and lower infrastructure cost.
As an infrastructure for AI agents, GENiE provides all the tools for data preparation. Our data scientists, on their part, handle the nuances that require human-in-the-loop judgment.
- Running an exploratory data analysis to uncover and eliminate derailing patterns
- Collecting data from internal and external data sources
- Pre-processing data by labeling it and resolving quality issues
- Aligning the dataset with the agent’s use case
- Augmenting datasets
- Setting up token waste prevention mechanisms
Context engineering
Giving your agents the right instructions is only effective if the underlying LLM is exposed to the right context. Too much information can overwhelm the system.
Our AI engineers excel at engineering the adaptive context hierarchy with hot, warm, and cold layers, so that agents are only shown the information they need to complete the current task quickly, accurately, and in the most token-efficient way.
- Setting up a tiered agent memory management to prioritize the most relevant data while discarding unnecessary information
- Applying information density techniques to improve the LLM’s contextual understanding
- Using a sliding context window to avoid context rot
- Introducing validation mechanisms for the context to remain relevant
Model instruction-tuning
While pre-trained foundation models provide a solid starting point, their true power lies in the effective instruction tuning that makes them as effective as possible for your AI agents’ needs.
Our data scientists and AI engineers fine-tune LLMs through supervised learning on real-life inputs and outputs, ensuring your models deliver accurate, context-driven results with minimal user input.
- Curating a diverse set of input-output pairs that span common scenarios and edge cases
- Writing precise instructions for processing key input-output pairs
- Adjusting the model’s output determinism to suit the specific tasks and desired outcomes
Agentic workflow orchestration
What sets good AI agent systems apart from the rest in terms of autonomy, multi-agent collaboration, and process scalability despite using the same underlying AI models? It’s a well-thought-out orchestration layer that makes all the agentic system’s components work in perfect sync.
Our AI engineers treat agentic workflow orchestration as a top-priority task, aiming to boost agents’ independent execution time, so they can proactively handle truly complex tasks and workflows, not just several-minute-worth tasks like booking a meeting or summarizing a conversation.
- Designing tailored agent orchestration patterns
- Calibrating the toolset for a specific workflow and providing clear coordination protocols to prevent conflicting actions or redundancy
- Enriching agents’ tools with metadata and usage scenarios to improve tool-selection accuracy and efficiency
- Implementing robust failover and self-healing mechanisms for smooth, uninterrupted operations
Your agentic AI success
story starts here
Many AI agent projects fail, but yours won’t. Here’s how we make sure of it
The majority of AI agent projects encounter obstacles that limit their success. With *instinctools as your AI infrastructure platform provider, you’re on the safe side.
We’ve seen it all and we’ve learned exactly what works. Our proactive approach ensures that potential challenges are addressed from day one, transforming the promise of AI agents into tangible outcomes.
- Time-tested pilot-to-production pipeline
- Seamless integration of AI agents into complex enterprise software ecosystems
- Built-in AI governance and compliance mechanisms
- Set of measures to ensure consistently high agent performance
Featured success
stories
Predictable
and fail-safe
AI agent adoption
We can support you in the AI agent adoption journey with our tailor-made workshop. Using GENiE’s capabilities, our data scientists and AI engineers show you how to simplify and scale agent development to fit your unique business case.
Being a quintessence of our experience in building robust, scalable, and cost-effective agents, GENiE accelerator enables us to meet you wherever you are and ensure moving further without surprises and uncharted risks.
Beginners
taking their first steps into agentic AI
Explorers
looking for better solutions to straighten the path forward
Builders
ready to turn prototypes into enterprise-ready multi-agent systems
What our
clients say
clients say
The expectations for the quality of the initial product were very high. I think Instinctools did a great job ensuring those expectations are met. We met the developers we were going to be working with and it quickly became apparent that they are very qualified and were able to deliver the vision that we had from our side for the product. They clearly told us what they were going to do, and if there were questions or problems along the way, they clarified them really quickly thanks to transparent communication.
We had a tight delivery deadline and *instinctools has been able to find another developer and assign him to our project from one day to another. And we’ve been able to successfully deliver this project. When the partner is good, things are just getting done. And that was the case with *instinctools.
We genuinely had a very positive experience working with the Instinctools team. They were responsive, collaborative, adaptable, and highly supportive throughout the project. Even as the scope evolved and the technical complexity increased, they remained committed and solution-oriented. Overall, we were very satisfied with the collaboration and the quality of work delivered; and frankly speaking, we find them to be the dream team!!
The quality has been good. It’s been on the expected level: things come on time, we have a good visibility on the things that *instinctools developers are doing and performing for us, communication is good. Wherever we see that we need some more exra resources, we have found *instinctools to be a good partner in helping us out on those areas.
I’ve been impressed by the available skillset, the flexibility to ramp up resources quickly, and the scalability to extend development teams on short notice. I look forward to continue collaboration with *instinctools and their contribution to our projects.
People at *instinctools are quite tech heads, which I like. They have used very advanced libraries, advanced techniques, advanced coding paradigms. So the advantage is that we get reusable code, that we get well-testable code, we get well-maintained code.
The *instinctools team exhibits the flexibility and professionality required for young companies. You can rely on their tested structures and processes that integrate nicely with your internal workflows. Being able to grow your team quickly with experienced professionals that start delivering value immediately and without a long interview process is a huge help. And personally, you will be working with a team of kind and interesting people.
The team is dependable when it comes to managing time and finances, consistently staying within the designated budget. We’re pleased with *instinctools. Their business analysts are exceptional. They serve as the spokespeople between technology and business, representing both sides effectively.
Instinctools is good at understanding the technical issues – once an issue is outlined, they do not need repeated explanation. They also do not simply accept a proposed solution, but they think about it and propose a better solution. I was really impressed by the custom interface they built for us – we outlined the requirements, and they implemented them in a user-friendly way that makes the interface a pleasure to use.
Instinctools does deliver on time and budget. The company proactively asks how they can support our efforts and provide ideas how to help us with very good candidates with expertise that either we requested or that instinctools identified to be missing.
The team demonstrated effective project management, timely delivery, and responsiveness to our needs. They established open communication to facilitate ongoing dialogue and held regular sprint meetings to keep stakeholders informed and engaged throughout the development process.
Instinctools delivered everything on time and was very flexible towards changes in scope during the project work. The team was easy to work with and had a quick response time.
Instinctools will make your objectives their sole focus, and have a team of professionals that will abstract away all the operational parts of the partnership to allow you to focus on your business. What made them a great partner was their capacity to proactively find the right fit and solutions based on the particularities of our needs.
We deliver agentic solutions 2X faster
than the mid-market average
GENiE goes hand in hand with our production-first delivery framework. This synergy allows our cross-functional team to transform a vague concept into a fully functional agent with dynamic context in just 6-8 weeks.
01
Data and context discovery
- AI data readiness assessment
- High-level context sources analysis
- Vision & Scope
02
Context engineering
- AI-ready dataset
- Minimum viable context tailored to the task specifics
03
Agentic workflow orchestration
- Adaptive context hierarchy with hot, warm, and cold layers
- Coherent, transparent, and highly customizable agentic workflow
04
Agent roll-out
- Solid agent MVP with dynamic context
- Staff onboarding and a basic training playbook
05
AI agent support
- Prioritized scope for further agent growth
- Outline of potential context extension directions
Set the AI agent
ball rolling
Your business need
comes first.
AI is just one of the tools
comes first.
AI is just one of the tools
Future-proof AI
knowledge system
Keeping track of all the AI development approaches, methodologies, models, frameworks, libraries, and tools sprouting up is beyond reach without a dedicated team. Instinctools’ AI Center of Excellence takes that burden off your plate by bringing order to the chaos of available AI tools and frameworks.
We ensure you’re always equipped with the most effective solutions and stay on top of the AI market trends:
01
Stack-testing the latest innovation alongside proven methodologies to find the best fit
02
Incorporating only the most impactful and cost-efficient tools into your agentic infrastructure
03
Offering the highest value at the lowest cost
Ivan Dubouski
Head of AI Center of
Excellence
Excellence
“
Every time the AI landscape evolves with new models, tools, and frameworks, we expand GENiE’s capabilities so your agents stay efficient and reliable.
Get the most out
of every dollar spent on AI
Industries
we serve
we serve
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02
03
05
06
07
08
09
11
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We do more,
you spend less
With GENiE, cost
optimization is a
baseline
As seasoned AI practitioners, we don’t gamble when it comes to reorganizing your business processes with agentic interaction.
- Model temperature configuration
- Context-aware task routing
- Memory segmentation
- Semantic prompt caching
- Agent behavior guardrails
- Tool access limitations
- Component reuse
Tech stack
& ample
experience
& ample
experience
Languages
Gen AI platforms
Frameworks
Debugging & Tracing
Vector Databases
DBMS
Data Visualization
FAQ
What is a multi-agent framework?
A multi-agent framework is a middleware infrastructure enabling the safe orchestration of multiple agents and their context management, so that they proactively collaborate and handle multi-step, complex workflows with minimal human oversight. Examples include IBM watsonx Orchestrate, Microsoft Azure AI Foundry, AWS Bedrock AgentCore, and *instinctools’ GENiE, to name a few.
What is the best multi-AI agent framework?
The best framework to build and manage AI agents is one that covers the entire pilot-to-production pipeline. To do so, it must be built with several principles in mind, such as a task-adaptive hybrid architecture, goal-oriented context management, event-driven agentization, cross-platform integration, multi-agent AI orchestration, and AI governance.
What is the best AI agent platform?
The best AI agent platform is vendor-agnostic and flexible enough to seamlessly adjust to your existing tech stack and business context. Above all, it should deliver maximum value with a focus on cost efficiency, ensuring that you get the highest return on your investment.
