Synthflow AI

If there’s one thing people still misunderstand about Voice AI, it’s this: Great conversations don’t happen by accident — they’re engineered. They’re the result of hundreds of simulated calls, scoring loops, routing logic, latency tuning, and guardrails that prevent errors long before a real customer ever picks up the phone. That’s the work the BELL Framework does behind the scenes: Build → Evaluate → Launch → Learn. BELL turns Voice AI from something fragile into something predictable. It's the invisible system that makes every agent feel consistent, reliable, and human-like. Because the real breakthrough in Voice AI isn’t bigger prompts or bigger models. It’s repeatability. The ability for an agent to behave the same way in every environment, every condition, every call, every time. And that’s where BELL changes the game, giving Voice AI a lifecycle that forces consistency, exposes failure points early, and makes performance reproducible instead of optimistic. This is the foundation productivity-scale Voice AI has been missing.

Most AI agents sound impressive in a demo. The real test is whether they behave predictably on the 10,000th call. Our latest Advanced Flow Designer upgrades give teams deeper control over how agents reason, route, and respond — reducing edge cases and increasing consistency across high-volume traffic. Think: logic-driven routing, structured data capture, modular subflows, and exact-phrase delivery for compliance-sensitive cases. These updates help enterprises scale Voice AI with confidence, not risk. Swipe to see what’s new.

Ready to build the future of Voice AI? 👉 We’re #hiring. We’re turning real conversations into real infrastructure—so enterprises can automate high-volume calls, launch AI agents in weeks, and trust them in production. If that’s the kind of challenge you want ownership over, come build with us. We’re hiring people who care about precision, reliability, and outcome-driven execution: • Forward Deployed Engineer (Berlin) • Enterprise Account Executive (USA) • AI Delivery Manager (Berlin) Why Synthflow: you’ll work with a tight technical team, ship into real enterprise environments, and help define how AI agents operate at scale. This is a place for builders who turn ambiguity into working systems. 👇 Swipe the carousel for role details and find the application link in the comments. And as always, referrals are welcome — tag someone great below!

GPT-5.1 is now available across all Synthflow agents. Here's a free guide the get you started. The new model by OpenAI delivers stronger reasoning, tighter instruction-following, and more consistent task execution — but it also behaves differently than GPT-4o and GPT-5. If you switch models without adjusting your prompting, you will notice changes in verbosity, persistence, and tool-calling behavior. 👉 To make the transition smooth, we created a Synthflow-specific GPT-5.1 Prompting Guide. It covers the exact updates we recommend for production voice agents, including: ✔ Keeping responses concise for real-time phone calls ✔ Enforcing persistence until the task is fully resolved ✔ Adding efficiency constraints to reduce latency & retries ✔ Structuring prompts with clear sections + XML blocks ✔ Avoiding conflicting or overly strict instructions ✔ Using OpenAI’s Prompt Optimizer for quick fixes If you’re migrating agents, this guide is the fastest way to ensure GPT-5.1 performs reliably out of the box. 👇 Find the full guide in the comments.

The Synthflow team is growing! Join us in welcoming three new teammates helping shape the next chapter of Voice Al: → Fredrik Sundqvist joins as Technical Customer Support, bringing experience across support operations to help customers troubleshoot, implement, and optimize their agents. → Fedor Kurilov joins as Frontend Engineer, focused on building and maintaining our core applications and improving team velocity across our product experience. → George Yudintsev joins as Backend Engineer, supporting our Voice team to help scale our infrastructure and keep performance reliable as call volumes grow. We're thrilled to have them on board - and even more excited about what we'll build together. We're #hiring! More new faces are on the way. Want to be one of them? Check out our open roles (link in comments).

Yesterday, our CEO Hakob Astabatsyan stepped onto the Slush stage and rewrote the conversation around Voice AI. He opened with the part no one in this industry says out loud: Voice AI doesn’t fail because the model is bad. It fails because the production layer is broken. Latency, telephony, interruption handling, testing, reliability — the things demos never show, and the exact things enterprises actually depend on. Then he introduced the answer: the BELL Framework — our operating model for taking Voice AI from impressive prototypes to deployments that actually survive real traffic. Build → Evaluate → Launch → Learn. The reaction in the room said everything. Slush wasn’t just a talk. It was the moment the category shifted — from showing what’s possible to demanding what’s reliable. And we’re building that future.

Day 1 at Contact Centre Expo London is a wrap, and our session with Yash Sharma from Freshworks made one thing clear: Voice AI only becomes valuable when it stops acting like an IVR and starts acting like part of the system. ❌ Customers aren’t impatient, they’re stuck inside outdated systems. ✅ When voice becomes connected — context-aware, integrated, and action-ready — the entire contact center changes. Inside yesterday’s session, we showed: • Smart IVR results → <10s routing • 80% verification automation • 2× faster response times • 75% shorter waits This is what happens when integration becomes conversation. We’re back at the conference today: Find Consuelo and Paul at booth CC-E24 to demo Synthflow in person.

Voice AI doesn’t prove itself in the demo. It proves itself when thousands of real calls hit the system and nothing breaks. But for years, the industry has crossed its fingers and hoped for that moment to go well. BELL is the shift from hope to engineered reliability. We just released a guide that breaks down the BELL Framework — the new operating model built directly into Synthflow that gives enterprise teams a clear, repeatable way to design, test, launch, and continually improve Voice AI. 🔔 Build → Evaluate → Launch → Learn. The stages of BELL are simple, but each one is backed by the infrastructure we’ve spent years building —  branching conversation flows, multi-agent systems, a full simulation engine, our low-latency telephony network, and live dashboards with auto-QA that catch issues before customers do. Inside the guide, you’ll get: → A clear look at what actually separates a promising prototype from production-ready Voice AI → How leading teams build predictability into every call with the BELL Framework → And the exact steps they use to de-risk deployments before anything ever goes live. It’s practical, it’s grounded in real deployments, and it gives you a structure you can deploy easily and immediately. If you want Voice AI that performs with consistency — not guesswork — this is the blueprint you need. 👇 Comment “Voice AI” now and we’ll send the whitepaper directly to your inbox.

🔔 We launched the BELL Framework last week. But here’s the real question: what does it actually mean for you? For years, Voice AI has been judged by how human it sounds. But the real bottleneck was never the voice. It was everything underneath it. We’ve spent the last year building that foundation: the latency, the orchestration, the telephony, the consistency layer that enterprise Voice AI actually depends on. BELL is the framework that turns our infrastructure into a repeatable system you can use to de-risk every voice AI deployment. → Because reliability should be the baseline, not the goal. What that means for you is simple: You stop gambling on whether an agent will perform, and start operating with confidence that it will, on every call. Swipe through to see what predictable Voice AI actually looks like. And let us know in the comments: Which part of BELL matters most for your team right now — Build, Evaluate, Launch, or Learn?

AI wasn’t the headline at CX Innovation Summit — reliability was. Juan Castellanos and Daniel Textor spent two days in Miami speaking with CX, digital, and ops leaders who all said the same thing: “We’re past experiments. We need automation that actually works in production.” A few themes came up again and again: • Teams want voice automation that can handle real volumes — not prototypes. • Trust is the new KPI: accuracy, governance, privacy, and predictable behavior matter more than ever. • The CX stack is too fragmented. Leaders are looking for fewer vendors and more end-to-end orchestration. • Pilots need fast value: short cycles, real metrics, and ROI scorecards execs will approve. The shift is clear: Enterprises aren’t asking whether to automate anymore. They’re asking who they can trust to automate the calls that actually matter. If we didn’t get a chance to meet, reach out — we’re helping teams turn high-volume call problems into high-impact wins.