Softcery

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Overview

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2018

Year Founded

ABOUT SOFTCERY

Agentic Voice AI: consulting and development

We are the AI engineering team that companies turn to when others claim something is "impossible" or that it will take over six months to complete. Our expertise lies in creating production voice agents—whether inbound, outbound, or omnichannel—that effectively manage real customer challenges, scale efficiently, and provide results within weeks rather than months. Additionally, we offer consulting services on voice AI architecture, vendor selection, and cost modeling for teams assessing their voice capabilities. We have successfully launched over 20 AI systems in various industries, including legal, hospitality, and e-commerce. We understand how to implement AI successfully from the start.

Languages Spoken

English

HIGHLIGHTS

$10,000+

Min Project Size

$50 - $99/hr

Avg Hourly Rate

10 - 49

Employees

2018

Year Founded

Services

Focus

Industries

Clients

Services Provided

35% AI Strategy & Roadmap Consulting

25% Custom AI Chatbot Development

40% AI Agent & Multi-Agent System Development

About the Team

OUR STORY

About Us We're Softcery, a team of AI engineers focused on creating high-quality voice agents and providing guidance on voice AI infrastructure. Our goal is to bridge the gap between prototyping and production by implementing early deployment, accurately mapping edge cases, ensuring complete observability, and automating testing processes. We have successfully launched over 20 voice AI systems in various sectors, including legal, hospitality, e-commerce, marketing, and insurance, managing tasks such as inbound calls, outbound outreach, omnichannel assistance, and tailored solutions with demonstrated results.

TEAM PHOTOS

Portfolio

Casegen AI: Voice Automation Platform for Law Firm

Casegen AI

Law firms often miss out on cases due to unanswered calls. When the office is closed—during evenings, weekends, and holidays—potential clients are directed to voicemail, and many don’t leave messages; they simply move on to the next firm. Manual case intake is not only inconsistent and costly, but it also involves attorneys spending time on administrative tasks. There was a clear need for round-the-clock support that could provide attorney-level questioning quality, bilingual assistance, and ensure full compliance. What We Developed: We created AI voice agents equipped to think like attorneys. The conversation flows were crafted with input from a practicing personal injury attorney, with every question designed to reflect how an experienced lawyer assesses a case’s viability. - Dynamic intake tailored to different case types—questions for auto accidents differ from those for medical malpractice; - Bilingual support in English and Spanish, tested for regional dialects; - In-call document collection via SMS, utilizing vision AI to analyze uploads in real time; - Case scoring based on discussions and documents, continuously learning from attorney feedback; - Intelligent live transfers with all relevant context once specific criteria are met; - A turn-based voice architecture selected for compliance audit trails and cost efficiency; - Multi-provider orchestration with automatic contingencies for production reliability; - Customization options for each firm at global, company, and agent levels; - Quality evaluation based on large language models to assess every call. How We Operated: We adopted an agent-first approach, starting with transcription, validating our infrastructure, and gradually adding more complexity. Real call recordings were used to build our test dataset, and every AI modification was tested against hundreds of scenarios before deployment. The entire process included four phases with set deliverables and bi-weekly alignment calls. Results: The platform now manages thousands of calls each month, achieving a 95% case capture rate and a 1.2-second response time. Law firms report an 80-90% cost reduction compared to traditional answering services. There are no missed leads, consistent quality, and attorneys are able to reclaim valuable hours for billable work.

Proximo AI: Career Coaching Agent

Proximo.ai

**Project Overview**: Developed an AI coaching agent for Proximo.ai to assist students and veterans in transitioning to new careers by leveraging their strengths. This system mimics a human coach via chat and voice interactions, conducts structured analyses, and retains long-term memory of users. **Technical Implementation**: The solution features a three-service architecture that encodes a proprietary coaching methodology into a deterministic agent. It includes real-time streaming with voice input/output, relevance filtering to keep discussions focused, validation to ensure structured and grounded responses, and an analysis dashboard that highlights actionable career insights. **The Challenge**: Proximo required an AI system that could authentically replicate a human career coach while performing thorough and structured analyses of users’ backgrounds. The complexity lay not only in the technical aspects but also in incorporating a proprietary career coaching method into software that could facilitate self-discovery for students and veterans. It was essential to maintain high-quality conversations, persistent memory, and strict safety protocols while ensuring the agent felt human-like and adhered to established coaching frameworks. **The Solution**: We developed a deterministic agent that encapsulates the co-founder's coaching methodology with clear goals and analytical instructions for reliable outcomes. The architecture is divided into a responsive web interface for chat and voice, a secure API with authentication, and an AI agent driven by instructions. Relevance filtering helps keep discussions relevant, while validation measures maintain structured and contextual output. **The Impact**: Proximo offers a comprehensive coaching journey through chat and voice interfaces that gather user data and generate insights. The analysis dashboard displays findings regarding strengths, weaknesses, and career suggestions. Users benefit from personalized coaching that is consistently grounded in methodology, resulting in scalable career clarity.

AI Marketing Consultant

Digital Marketing Agency

**Challenge** A digital marketing agency had developed in-depth knowledge through over 100 blog articles on SEO, PPC, email marketing, and conversion optimization. However, clients struggled to access this information, as searching through ten lengthy articles wasn't practical. Consequently, all inquiries were directed to human consultants, leading to an inefficient bottleneck. **Solution** We created an AI-driven marketing advisor that converts the agency's knowledge base into an interactive assistant. Clients can pose questions in everyday language and receive expert answers in 30 to 60 seconds, complete with citations from source materials. The system breaks down articles into semantically relevant sections that are indexed for similarity searches. When a question is asked, the agent performs multiple retrieval passes to refine its understanding before responding, synthesizing insights from various sources. Each claim made links back to the original article, with citations that are automatically verified. **Technical Highlights** An automated ETL pipeline was implemented for content ingestion, and semantic chunking was used to maintain document structure. The system supports sub-second vector searches across thousands of content segments and employs extended reasoning for genuine synthesis rather than simple retrieval. It features a streaming user experience that promotes a natural reading flow. Its modular architecture allows for changes in embedding models or LLMs without the need for code rewrites. **Results** Clients can now receive expert marketing advice within 30 to 60 seconds, synthesized from over 100 indexed articles with citations. Consultants have moved from repetitive Q&A tasks to focusing on strategy and building valuable relationships. The agency’s methodology is now accessible through conversation, and the architecture is prepared for expansion into additional areas.

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