Softcery

What Softcery does

Softcery builds AI systems that run in production, including voice agents, custom AI, and consulting services. They focus on systems that handle complexity, scale with volume, and can be shipped in weeks. Their expertise lies in navigating the space between business needs and technical feasibility, offering end-to-end development or consulting. Consulting services include vendor selection, cost modeling, build-or-buy decisions, architecture review, and technical due diligence on existing AI systems. They specialize in multimodal conversational agents, custom AI agents, RAG systems, document AI, internal copilots, and agentic automation, ensuring reliability and grounding in proprietary data. They also provide voice AI advisory, infrastructure, and fine-tuning services.

Products

• Custom AI Agents & RAGRAG systems, document AI, internal copilots, and agentic automation engineered to run reliably. Features include knowledge retrieval grounded in your own data, document processing (extraction from PDFs, scans, forms), internal copilots wired to CRM, docs, and databases, and built-in evaluation, traceability, and monitoring.
• Voice AI AgentsInbound, outbound, and omnichannel voice agents built end-to-end, with advisory to choose the right approach. Includes agents on a reliable orchestration layer with provider fallback, evaluation and monitoring, and integration with phone systems, CRMs, and booking engines.
• On-Premises Voice InfrastructureRun voice AI within your own infrastructure, with self-hosted STT, LLM, and TTS on private cloud, VPC, or on-prem. Ensures regulated data never leaves your network and allows for LLM, STT, and TTS fine-tuning for specific accents, vocabulary, and voice.
• Voice AI Model Fine-TuningFine-tuning for LLM, STT, and TTS models to improve accuracy for specific accents, vocabulary, and voice quality, using evaluation-driven improvement.
• AI Business AutomationAutomates repetitive, document-heavy, and decision-support work. Includes data entry, record syncing, tool-to-tool integration, document generation, extraction, classification, and decision support (scoring, flagging, surfacing context to staff). Plugs into existing tools with human checkpoints and monitoring.
• AI Front Desk Automation for Hotels (AI Receptionist)An AI receptionist that picks up every call in 20+ languages, takes reservations, and handles guest requests 24/7. It checks live availability, presents room options, sends booking links, handles after-hours inquiries, classifies guest requests, coordinates check-ins, recognizes returning guests, upsells, and sends confirmations automatically.
• AI Voice Receptionist for Self-Service KiosksA voice agent that runs self-service kiosks alongside the screen, guiding guests through ID scan, booking, signature, payment, and room key. It covers the front desk outside staffed hours, supports multiple languages, and can escalate to staff if needed.
• Softcery PlatformA no-code platform to build, test, and deploy production-grade AI agents. Features include knowledge base ingestion (PDFs, DOCX, TXT, website crawling), behavior configuration (identity, objectives, constraints, voice, LLM selection, extended thinking), deployment to website embeds or chat links, conversation monitoring, custom evaluation criteria, and integrations with external tools via Model Context Protocol (MCP) servers.
• CaseGen AIAI voice agents for law firm intake, providing attorney-level questioning, multilingual support, and zero missed leads.
• Proximo AIAI career coaching at production scale, transformed from a broken prototype to a conference demo in 4 weeks.
• UpSkill AICompliance AI that provides source-cited answers for AML professionals, ensuring accuracy and traceability in regulated industries.
• BullseyeA B2B visitor identification platform rebuilt for enterprise scale, identifying person-level visitors to websites for sales teams.

Key capabilities

• Multimodal conversational agents
• RAG systems for knowledge retrieval
• Document processing and extraction
• Internal copilots
• Agentic automation
• Inbound, outbound, and omnichannel voice agents
• Reliable orchestration layer with provider fallback
• Evaluation, traceability, and monitoring built-in
• Integration with phone systems, CRMs, and booking engines
• Self-hosted STT, LLM, and TTS on private cloud, VPC, or on-prem
• LLM, STT, and TTS fine-tuning
• Automation of repetitive operations, document work, and decision support
• Architecture matched to use case (real-time, batch, multi-agent pipelines)
• Guardrails and multi-provider resilience
• Grounded in your data to prevent hallucinations
• Full observability (traces, token and cost tracking, latency metrics)
• Continuous improvement based on real-world feedback
• No-code platform for building AI agents
• Knowledge base ingestion from various sources
• Configurable agent behavior (identity, objectives, constraints, voice)
• Deployment to website embeds or shareable chat links
• Custom evaluation criteria for factual accuracy, tone, and safety
• Integrations with external tools via Model Context Protocol
• Test suites for agent quality assurance
• Cost modeling for voice AI solutions
• Compliance and data-residency guidance

Use cases

• Law firm intake (qualifying cases, scheduling consultations)
• Hotel reservations and guest requests
• Customer support (resolving tier-1 questions, escalating with context)
• Appointment scheduling (booking, confirming, rescheduling)
• Lead qualification (screening inbound/outbound leads)
• Post-call follow-up (confirmations, reminders, surveys)
• Automating data entry and record syncing
• Automating document generation, extraction, and classification
• Decision support for staff (scoring, flagging, surfacing context)
• AI receptionist for hotels (24/7 call handling, direct bookings, multi-language support)
• AI voice receptionist for self-service kiosks (check-in guidance, ID scan, payment, key issuance)
• Regulatory compliance (source-cited answers for AML professionals)
• B2B visitor identification for sales teams
• AI career coaching
• Building internal copilots for CRM, docs, and databases

AI approach

Softcery builds and advises on production AI systems, specializing in multimodal conversational agents, voice AI agents, and custom AI agents. They focus on RAG systems, document AI, internal copilots, and agentic automation, ensuring reliability, scalability, and compliance. They offer services from architecture design to deployment, including fine-tuning of LLM, STT, and TTS models, and provide options for self-hosted and on-premises deployments for regulated data and cost control.

Tech named: RAG systems, LLM, STT, TTS, NVIDIA Nemotron ASR, Whisper, faster-whisper, Qwen-STT, Qwen TTS, CosyVoice, Kyutai TTS, Chatterbox, Kokoro, Llama, Qwen, Mistral, NVIDIA Nemotron, GPT-OSS, Silero VAD, Pyannote, vLLM, TensorRT-LLM, NVIDIA Triton, NVIDIA Riva, Kubernetes, Docker, Deepgram, AssemblyAI, Cartesia, Speechmatics, Azure Speech containers, WebRTC, Claude, GPT-4o, Gemini

Industries served

• Software Development
• Law Firms
• Hotels
• Hospitality
• Financial Services
• Healthcare
• Enterprise

What it says sets it apart

• Focus on building production-ready AI systems that handle real complexity and scale.
• Ability to ship AI solutions in weeks, not months, with prototypes running live operations.
• Expertise in navigating the gap between business needs and technical feasibility.
• Comprehensive consulting services including vendor selection, cost modeling, and architecture review.
• Proprietary orchestration layer for voice agents with provider fallback for reliability.
• Built-in evaluation, traceability, and monitoring from day one for all AI systems.
• Emphasis on grounding knowledge retrieval in proprietary data to avoid hallucinations.
• Specialization in self-hosted voice AI infrastructure for regulated data and predictable costs.
• Fine-tuning capabilities for LLM, STT, and TTS models to achieve domain-specific accuracy.
• No-code platform for rapid AI agent development, testing, and deployment.
• Proven experience with case studies like CaseGen AI, Proximo AI, UpSkill AI, and Bullseye.
• Vendor-neutral approach to technology stack, choosing components based on constraints.
• Focus on measurable quality and continuous improvement through evaluation loops.
• Ability to handle multi-tenancy, self-service billing, and high traffic volumes for enterprise clients.