Agentic AI
& Production AI Systems
We build production agentic AI, from workflows and RAG to voice, and consult on the architecture behind it, from vendor selection to build-or-buy.
Trusted by the companies building what's next
[ Services ]
What We Do
Voice agents, AI agents, and the infrastructure behind them, built and tuned to run reliably in production.
Custom AI Agents & RAG
RAG systems, document AI, internal copilots, and agentic automation, engineered to run reliably.
- Knowledge retrieval grounded in your own data, no hallucinated facts
- Document processing: extraction from PDFs, scans, and forms
- Internal copilots wired to your CRM, docs, and databases
- Evaluation, traceability, and monitoring from day one
Voice AI Agents
Inbound, outbound, and omnichannel voice agents built end to end, plus advisory to choose the right approach first.
- Agents on a reliable orchestration layer with provider fallback
- Evaluation and monitoring built in from day one
- Integration with phone systems, CRMs, and booking engines
- Advisory on feasibility, architecture, cost, and build-vs-buy
Voice Infrastructure & Tuning
Run voice AI within your own infrastructure, and tune every model until it gets your domain right.
- Self-hosted STT, LLM, and TTS on private cloud, VPC, or on-prem
- Regulated data never leaves your network
- LLM, STT, and TTS fine-tuning for your accents, vocabulary, and voice
- Evaluation-driven improvement, every change measured
AI Business Automation
Automate the repetitive, document-heavy, and decision-support work that slows your team down.
- Repetitive ops: data entry, record syncing, and tool-to-tool glue
- Document work: generation, extraction, and classification
- Decision support: scoring, flagging, and surfacing context to staff
- Plugs into your existing tools, with human checkpoints and monitoring
[ Case studies ]
Built on Real Experience
Two years building production AI systems. Among the first teams to ship agentic and voice AI at scale.
[ Under the hood ]
Built for Production
The engineering behind agentic systems that hold up under real production load.
Architecture matched to the use case
Real-time, batch, or multi-agent pipelines, selected for latency, cost, and compliance requirements.
Guardrails & multi-provider resilience
Automatic fallbacks across LLM, embedding, and speech providers, plus input/output guardrails. One outage does not drop the workflow.
Grounded in your data
Retrieval pipelines and context management keep every answer tied to source. No hallucinated facts.
Evaluation on every run
Each output scored against defined criteria. Regressions surface before customers ever see them.
Full observability
Traces, token and cost tracking, latency metrics. Every agent run auditable from day one.
Continuous improvement
Real-world feedback and evals tighten precision with every iteration.
[ How we work ]
Ways to Work
With Us
Distinct offers: custom build, advisory, voice, or ready-made. Pick the shape that fits, or talk to us first.
Agentic AI Development
We own the system end to end, architecture through live deployment.
Best for
Businesses that want a production AI system without building or managing an AI engineering function in-house.
What's included
- Agent and workflow design, tool-calling and orchestration
- Integration with existing systems: CRM, ERP, EHR, data warehouses, phone systems
- RAG and document pipelines on your own data
- Deployment, monitoring, evals, and scaling
- Ongoing refinement as usage grows
Voice AI Agents
We build and advise on production voice agents, from architecture to live deployment.
Best for
Operators who need a voice agent built, or teams deciding how to approach voice before committing budget.
What's included
- Inbound and outbound voice agent development
- Real-time speech, telephony, and IVR replacement
- Vendor and platform evaluation for voice
- Cost modelling and feasibility before build
- Testing across accents and languages in production
AI Engineering & Architecture Consulting
We help teams make the right decisions before committing development budget.
Best for
Teams evaluating AI, companies hardening existing systems, and founders planning an AI-powered product.
What's included
- Build-vs-buy, vendor and platform evaluation
- Architecture, cost modelling, and ROI analysis
- MLOps and scalability assessment
- Technical due diligence on existing AI systems
14
platforms tested
11
vendor trade-offs
15+
companies helped
Industry-Ready Agents
Out-of-the-box inbound agents for specific verticals. Pick a vertical, go live in days.
Best for
Operators in legal or hospitality who want a proven agent live in weeks, not months.
Legal
Law Firms
- Intake and qualification
- Route by case type
- After-hours coverage
- Full conversations, not IVR trees
Hospitality
Hotels
- Reservation and booking
- Guest enquiries
- Upsell and cross-sell
- 24/7 without night-shift staffing
Self-service
Kiosks
- Voice ordering and check-in
- Hands-free guidance
- Multi-language support
- Always-on, no staff required
Not sure which?
Book a consultation
Tell us the constraint. We'll tell you which fits, or that none does.
[ Testimonials ]
Trusted by leading companies
What our partners say about working with Softcery.
"What truly stood out was Softcery's deep AI expertise. They were able to take our vision and turn it into a reality, and the final product has exceeded our expectations. Working with Softcery has been a game-changer for our business."
Jeanette Kreft
Managing Director, The Compliance Company & Upskill AI
"Softcery is not your typical software development agency – they're a full-scale product consultancy. The benefit of working with them is the collaboration."
Ryan Tabb
Founder, Bullseye
[ Our team ]
Meet the team
We're a small, senior team of engineers and AI specialists who've spent years building systems that actually work in production, not just in demos.
Elijah Atamas
Founder & CEO
Elijah Atamas
Founder & CEO
Founder and AI enthusiast, Elijah focuses on high-concurrency infrastructure and automating everything at scale to build production-grade neural platforms.
Taras Maister
CTO
Taras Maister
CTO
With 7 years in engineering, Taras specializes in RAG pipelines and autonomous workflows, building high-precision AI for legal systems and complex multi-sector automation.
Start with a
conversation.
Book a consultation
1 hour
Consultation call
We review the use case, discuss options, and determine the right engagement: build, advisory, or both.
2–4 weeks
Engagement begins
A pilot build or live operations, an architecture review, or a vendor assessment, scoped to your situation.
Month 2 onward
Results delivered
A production AI system, a strategic recommendation, or a decision framework, with ongoing support as you scale.