
Customer Support Agent
Handle customer inquiries 24/7 in any language. Resolve common issues instantly, escalate complex cases with full context, and reduce ticket volume by 60-80%. See case study →
We build AI agents that actually work—not demos, but production systems handling real tasks for real businesses. Our team combines deep AI expertise with practical engineering to deliver agents that integrate with your tools, learn from your data, and operate within your guardrails.
Oleg Kalyta
Founder & AI Lead
Free Trial
Test our team, no commitmentProof of Concept
Working prototype deliveredProduction Ready
Full AI solution deployedWe map your workflows, identify automation candidates, and design agent architectures that fit your tech stack. No generic playbooks—we dig into your specific operations.
From LLM selection to prompt engineering to tool integration, we build agents tailored to your use case. Production-grade code, not weekend hackathon demos.
Salesforce, HubSpot, SAP, Zendesk, Slack, custom APIs—we connect your agent to the systems your team already uses. Secure, authenticated, auditable.
Rigorous evaluation across edge cases, load testing, and prompt optimization. We benchmark response quality, latency, and cost before you go live.
Agents need care and feeding. We monitor performance, refine prompts based on real usage, and add capabilities as your needs evolve. Monthly reports included.
AI agents are autonomous software systems that perceive their environment, make decisions, and take actions to achieve specific goals. Unlike traditional automation, they adapt to new situations and handle tasks that previously required human judgment.
Automate repetitive tasks
Free your team from mind-numbing busywork. Our agents handle data entry, report generation, ticket routing, and document processing around the clock. One retail client cut their order processing time by 73% after deploying an agent to manage inventory updates and supplier communications.

Improve decision-making
Stop making calls based on gut feeling alone. AI agents analyze patterns across thousands of data points, surface anomalies, and present actionable recommendations in plain language. Finance teams use our agents to flag unusual transactions before they become problems.

Enhance customer experience
Your customers expect instant, personalized responses at 2 AM on a Sunday. AI agents deliver exactly that—handling inquiries, resolving issues, and escalating complex cases to humans when needed. The result? Higher satisfaction scores and fewer burned-out support reps.

Save time & reduce costs
The math is straightforward: tasks that took hours now take minutes. A mid-sized logistics company we worked with reduced their operational overhead by 40% within six months. The agent handles dispatch coordination, route optimization, and carrier communications without breaking a sweat.


Customer Support Agent
Handle customer inquiries 24/7 in any language. Resolve common issues instantly, escalate complex cases with full context, and reduce ticket volume by 60-80%. See case study →

Sales & Marketing Agent
Qualify leads, personalize outreach at scale, and nurture prospects through the funnel. Automate follow-ups while maintaining a human touch that converts.

Data Analysis Agent
Turn raw data into actionable insights. Generate reports, forecast trends, and surface anomalies before they become problems—no SQL required.

Workflow Automation Agent
Orchestrate complex business processes across systems. Route approvals, sync data between tools, and eliminate manual handoffs that slow your team down.

Industry-Specific Agents
Purpose-built for your domain: HIPAA-compliant healthcare agents, SOC2-ready fintech bots, high-volume eCommerce assistants, and logistics coordinators.
LLM Models
OpenAI
Gemini
Anthropic
OpenAI
Gemini
Anthropic
OpenAI
Gemini
Anthropic
OpenAI
Gemini
Anthropic
OpenAI
Gemini
Anthropic
OpenAI
Gemini
Anthropic
AI Frameworks
LangGraph
LangSmith
LangChain
LangGraph
LangSmith
LangChain
LangGraph
LangSmith
LangChain
LangGraph
LangSmith
LangChain
LangGraph
LangSmith
LangChain
LangGraph
LangSmith
LangChain
Vector DBs
Pinecone
Chroma
Weaviate
Pinecone
Chroma
Weaviate
Pinecone
Chroma
Weaviate
Pinecone
Chroma
Weaviate
Pinecone
Chroma
Weaviate
Pinecone
Chroma
Weaviate
AI Tools
ElevenLabs
Whisper
Replicate
ElevenLabs
Whisper
Replicate
ElevenLabs
Whisper
Replicate
ElevenLabs
Whisper
Replicate
ElevenLabs
Whisper
Replicate
ElevenLabs
Whisper
Replicate
Get a free assessment to identify which processes in your business can be transformed with intelligent automation.

FinTech & Banking
Fraud detection agents that catch suspicious transactions in milliseconds. Risk assessment systems that evaluate loan applications overnight. Trading assistants that monitor market conditions and execute strategies within defined parameters. Compliance agents that scan documents and flag regulatory issues before they become problems. See how we built Finsu.
Healthcare
Patient triage agents that assess symptoms and prioritize urgent cases. Appointment schedulers that handle rescheduling, reminders, and no-show follow-ups. Clinical decision support systems that surface relevant research during diagnosis. Administrative agents that manage billing inquiries and insurance pre-authorizations. See how we built Healify.
eCommerce & Retail
Shopping assistants that understand natural language queries and find products across massive catalogs. Inventory agents that predict stockouts and trigger reorders automatically. Personalization engines that tailor recommendations based on browsing behavior and purchase history. Returns processing agents that handle refund requests without human intervention. See how we built Beauty Advisor.
Logistics & Supply Chain
Route optimization agents that recalculate delivery paths as conditions change. Demand forecasting systems that account for seasonality, promotions, and external factors. Warehouse agents that coordinate picking, packing, and shipping operations. Carrier management agents that negotiate rates and track shipments across providers. See how we built EvLuv.
Legal Services
Contract review agents that identify risky clauses and missing terms in minutes rather than hours. Legal research assistants that scan case law and surface relevant precedents. Due diligence agents that comb through document rooms during M&A transactions. Intake agents that gather client information and assess case viability.
Insurance
Claims processing agents that assess damage from photos and documentation. Underwriting assistants that evaluate risk factors and suggest appropriate coverage. Policy service agents that handle endorsements, renewals, and cancellations. Fraud investigation agents that detect patterns across claims and flag anomalies for review.
Manufacturing
Predictive maintenance agents that analyze sensor data and schedule repairs before equipment fails. Quality control agents that inspect products using computer vision. Production planning agents that optimize scheduling based on orders, capacity, and material availability. Supplier communication agents that manage purchase orders and delivery coordination.
Telecommunications
Network monitoring agents that detect outages and initiate troubleshooting procedures. Customer service agents that resolve billing disputes and plan changes without escalation. Technical support agents that diagnose connectivity issues through guided conversations. Churn prediction agents that identify at-risk customers and trigger retention offers.
Real Estate
Property matching agents that understand buyer preferences and surface relevant listings. Lead qualification agents that engage website visitors and schedule showings. Market analysis agents that compile comparable sales and generate pricing recommendations. Transaction coordinators that track deadlines and chase missing documents. See how we built Breeze.
Education
Tutoring agents that adapt to student learning pace and identify knowledge gaps. Enrollment assistants that answer prospective student questions and guide application processes. Administrative agents that handle course registration, grade inquiries, and scheduling conflicts. Content recommendation engines that suggest supplementary materials based on curriculum progress.

AI Support Agent
Case Study
Customer Service Automation for Fitness App
We built an AI-powered support agent that handles refund and cancellation requests instantly for a fitness app with thousands of daily users. The agent responds in seconds (down from 4-hour wait times), preventing chargebacks by addressing customer concerns before they escalate.
Discover case study

Healify
Case Study
AI-Powered Health Companion
We built an AI-driven mobile app that uses intelligent agents to analyze health data, provide personalized recommendations, and deliver proactive insights to users.
Discover case study
Flexible options that match how you work
Discovery Workshop
Teams exploring AI agent possibilities
$3,000 - $5,000
1-2 weeks
Identify the right use cases before committing to development. We analyze your workflows, assess feasibility, and define MVP scope.
Fixed-Price Project
Single-agent implementations with clear requirements
$15,000 - $75,000
4-12 weeks
Clearly defined agents with known scope. We quote based on complexity and integrations, then deliver on budget.
Managed Agent Services
Enterprise deployments requiring ongoing evolution
Custom monthly
Ongoing
Continuous operation, optimization, and expansion. We monitor performance, refine prompts, and add capabilities over time.

Production AI Experience
Not our first rodeo. From customer support agents to document processing pipelines, we've built and deployed agents that handle real business operations daily. Ask us for references in your industry.

Fixed Price or Time & Materials
Discovery workshop for $3-5K. Fixed-price projects from $15K. Monthly retainers for ongoing optimization. Pick the model that matches your budget certainty needs.

Healthcare to FinTech to Retail
We've built HIPAA-compliant agents for health apps, SOC2-ready systems for fintech, and high-volume automation for ecommerce. Domain expertise accelerates delivery.

MVP in 4-6 Weeks
Not months. We scope aggressively, build iteratively, and get working software in front of users fast. Refinement happens based on real feedback, not speculation.

We Don't Disappear After Launch
Agents need ongoing care. We monitor performance, tune prompts based on actual usage, and expand capabilities as you identify new opportunities. Partnership, not handoff.
Transparent pricing based on project scope and complexity.
Here's what typical ML initiatives cost based on projects we've delivered.
What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.
They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.

Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.

The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.

The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.

Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.
What most impressed me about ProductCrafters was their dedication to my project and understanding of our goals. They were very honest and transparent throughout the entire process.
They were flexible, and it was easy to work with them on a day-to-day basis. Their brilliant ideas were critical to the project success.

Out of over 40 applicants, we selected ProductCrafters based on their experience, technical expertise, and cost estimate. The team showed deep technical expertise, a strong work ethic, and honesty.

The team has honest billing practices and creates incredible value for the cost. Working with ProductCrafters has saved us hundreds of thousands of dollars compared to domestic firms.

The quality of their code makes them a valuable partner. They thought holistically about solutions and brought up all-encompassing ideas.

Their insightful advice has maximized the application's performance. We're actually learning things from ProductCrafters that we can adapt and use in other applications.
Recognition


Launching an AI MVP (Minimum Viable Product) can be surprisingly fast — typically 2 to 6 weeks, depending on the product scope, data readiness, and how "minimum" the first version is. More complex enterprise agents with multiple integrations typically take 8-12 weeks.
Yes. They can connect to CRMs, ERPs, databases, and internal tools through APIs or webhooks, allowing them to work smoothly within your existing tech stack. We have experience integrating with Salesforce, HubSpot, SAP, Zendesk, Slack, and dozens of other platforms. For complex integrations with legacy systems, see our AI Integration Services.
A chatbot mainly answers questions based on scripted flows or FAQ matching. An AI agent can reason, perform multi-step tasks, make decisions, access external systems, and take actions on behalf of users. Think of chatbots as responders and agents as doers. See our AI Chatbot Development services for conversational AI focused on customer interactions.
We use encrypted data transfer, strict access controls, audit logs, and follow standards like GDPR, HIPAA, and SOC2. Sensitive data is minimized, monitored, and stored securely. We can deploy agents in your own infrastructure if data residency is a concern.
Look for a team with proven AI experience, strong engineering skills, integration expertise, and ongoing support. They should understand both technical requirements and real business workflows. Ask for case studies with measurable outcomes, not just demos.
Yes. Well-designed agents can be reused, customized, and deployed across teams once integrations, authentication, and monitoring are in place. Many clients start with one department and expand after seeing results.
Usually business documents, historical interactions, internal procedures, and API documentation. The exact data depends on what the agent needs to do. We help you audit existing data and identify gaps before development begins.
Basic agents using low-code platforms start around $5,000-$10,000. Custom-built agents with integrations and specialized logic typically range from $15,000-$50,000. Enterprise multi-agent systems can exceed $100,000 depending on complexity. We provide detailed estimates after a discovery session.
Single-agent systems handle one focused task well—like processing support tickets or answering product questions. Multi-agent systems involve multiple specialized agents that communicate and coordinate to handle complex workflows spanning different domains or requiring parallel processing.
Learning agents use feedback loops—they observe outcomes, adjust strategies, and refine their responses based on real-world performance. We implement monitoring dashboards that track agent accuracy, identify failure patterns, and guide continuous improvement.
We build guardrails and fallback mechanisms into every agent. When confidence is low or the request falls outside defined boundaries, the agent escalates to a human with full context. Audit logs capture every decision for review and training.
Yes. Multimodal agents can process text, images, audio, and video. Use cases include analyzing photos for insurance claims, transcribing and summarizing meetings, or handling voice calls through integration with telephony systems.
We offer flexible support arrangements—from ad-hoc consulting to fully managed agent operations. Most clients start with a 3-month optimization period where we monitor performance, refine prompts, and add capabilities based on real usage patterns.
We work with OpenAI (GPT-4, GPT-4o), Anthropic (Claude), Google (Gemini), and open-source models like Llama and Mistral. Framework choices include LangChain, LangGraph, and custom orchestration layers depending on requirements. We recommend the best fit based on your use case, budget, and data sensitivity.
We align with emerging AI regulations including the EU AI Act, NIST AI Risk Management Framework, and industry-specific requirements like HIPAA for healthcare or SOX for financial reporting. Compliance considerations are built into the design phase, not bolted on afterward.

Meet your team
Slack channel, assigned developer, daily standups. First code committed to your GitHub.Working prototype delivered
Technical spike or prototype complete. Architecture + budget roadmap for the full build.You keep everything. Zero cost. Zero commitment.

Oleg Kalyta
Founder & AI Lead
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