Akka’s cover photo
Akka

Akka

Software Development

San Francisco, California 18,033 followers

Build, run, and evaluate agentic systems with certainty, scale, and resilience.

About us

Akka powers the next generation of agentic AI systems and distributed applications. Innovate and operate at 3X velocity with 1/3 the compute. Trusted by industry giants and innovators alike, Akka provides the backbone for AI-native systems. Learn more at akka.io. The Akka Agentic Platform includes: Orchestration, Agents, Memory, and Streaming—an integrated foundation to build, run, and evaluate agentic systems. Together, these support any type of agentic system with any operational or behavioral SLA. ✓ Guide and control multi-agent workflows—even across crashes or failures ✓ Build goal-directed agents with composable memory and multi-modal toolchains ✓ Stream and process live data from any source in real time ✓ Accelerate delivery with an AI-assisted DevEx and an expressive SDK ✓ Scale reliably on any infrastructure, to any workload—even up to 1 billion tokens per second Akka is an expressive SDK and platform to develop, deploy, and operate enterprise agentic services. It automatically distributes workloads, self-heals, and adjusts in real time, ensuring uninterrupted execution even under extreme demand. Akka eliminates uncertainty in agentic AI by enabling high-availability, low-latency systems with built-in safety, observability, and resilience.

Website
akka.io
Industry
Software Development
Company size
51-200 employees
Headquarters
San Francisco, California
Type
Privately Held
Founded
2011
Specialties
cloud-native application architecture, Reactive Microservices, real-time streaming data, Kubernetes, Machine Learning, Distributed Systems, Scala, Akka, Play Framework, Lagom Framework, Java, Data Replication, Multi-cloud, AWS, GCP, Azure, PaaS, Elasticity, Agile Operations, AI, Agentic AI, Software architecture, programming, and innovation

Locations

Employees at Akka

Updates

  • Akka reposted this

    Congratulations to Jena Peoples and Bryce Masterson, winners of the AI By the Bay Conference #hackathon 2025! They automated the real estate problem of "driving for dollars" where real estate agents scour neighborhoods for ideal acquisition targets. They leveraged AI to grab images, analyze them, and to make recommendations. Jena built the winning system using Akka and Anthropic's Claude Code. She designed a 1-shot prompt that built the entire system in Akka, and it worked on the first go. Jena, to our knowledge, was not previously a #Java developer, but she is now. Learn about their solution - Revealio and the summary on DevPost. https://lnkd.in/g8ivk5ue

  • Akka reposted this

    Very interesting Monday Morning call with a major Fintech in APAC:- AI has quietly shifted from: “Which LLM are you using?” to “Why doesn’t this thing work in production?” We’ve moved from model-centric to system-centric AI – and the pain is very real. This is very consistent with what I’m hearing from other banks, NBFCs, fintechs, telcos, and large enterprises in India and wider APAC region:- 1. POC graveyard :- 10+ “successful” pilots, almost nothing that risk / compliance / IT will sign off. 2. Workflow spaghetti:- agents, LLMs and tools stitched together with notebooks, Lambdas and low-code; fine in demos, fragile at scale. 3. No single owner – model team, app team, infra team… but nobody owning end-to-end system behaviour. 4. Regulator pushback – “Show us the decision path, HITL points, data flows.” Most orgs can’t do this cleanly. 5. Residency & security – global SaaS AI that can’t meet per-country data, VPC-only, or bank-grade controls. 6. Low-code dead ends – first flow looks great, the 15th is an unmaintainable canvas with logic hidden in “custom code”. None of this is fixed by swapping GPT ↔ Claude ↔ Gemini. These are system problems, not model problems. The questions leading enterprises are now asking:- 1. Can we run stateful agents that span days/weeks, not just one prompt? 2. Can we build event-driven, long-running workflows instead of brittle chains? 3. Are guardrails, evaluations, HITL and audit trails built-in, not bolted on? 4. Can this run inside our environment, next to cores and data? 5. Can we replay and defend every important decision? That’s the shift we lean into with Akka:- Treat models as components inside a resilient, observable, governed agentic system, rather than the centre of gravity. In India & APAC, the real competitive edge will belong to organisations that master system-centric, agentic AI not just model selection.

  • Akka reposted this

    This is an academic study with 306 participants that was released a few days ago discussing agents in production. A few takeaways: Surprised to see finance / banking as top application domain. Productivity was #1 driver of adoption. Automation was lower down the list. 10% of respondents had latency tolerances of hours or days. Yikes. 2/3rds of systems make use of multiple models. Makes sense especially if you have agents judging other agents. 40% of agentic projects did not use an agent framework! Very surprising, though also states there is broad dissatisfaction with frameworks available today. Cough, cough - try Akka. No surprise that #Reliability is the top development challenge for agentic systems, primarily driven by the difficulty in systematically ensuring and evaluating agent correctness at scale. Agents are leveraging LLMs that are randomizers which makes them non-deterministic; they dynamically reason, plan, and choose tools, leading to variable performance across executions. Standardized, automated evaluation is not being adopted. Wow: 75% of teams do not use formal benchmarks, instead relying on ad-hoc A/B testing or expert feedback. The inherent multi-step, tool-using nature of agents creates numerous potential failure points that are hard to model and test programmatically before deployment. Of course, with Akka, we make an agentic #AI platform that allows you to create systems that build trust and never fail. Governance, guardrails, inline evaluation, zero trust networking, actor-based runtimes, distributed memory, sharded memory, replicated memory, multi-region HA / DR, verifiable agentic identities, guaranteed resilience, immutable trace and audit, streaming event-driven architecture to adapt and evolve over time. https://lnkd.in/g82W8RYD

  • Akka reposted this

    LangChain CEO: "The hardest part of building reliable agents is 'context engineering'. We disagree. Agentic AI are distributed systems relying upon content randomizers. The hardest part of building reliable agents is trusting the system. Trust that it won't fail. Trust that it won't disregard an instruction. Trust that it behaves within its guardrails. Trust that it will scale. Trust that it's safe. Trust with an approach that embraces system risk with randomization risk. If you do not trust AI, it will not go into production. If you do not trust AI, it will not stay in production. Agentic AI are systems that infuse AI into apps, and Continuously build trust. This requires a mindset shift, and for enterprises to embrace non-determinism. We are giving up the last vestiges of determinism. When you do this, then you are on a path to trusting your agents.

  • Akka reposted this

    James Governor did another thoughtful write up on developer community and ecosystem. This time on Java and AI frameworks. Though, he *cough* forgot to mention Akka! Java frameworks are gaining quite a bit of traction in agentic AI space, especially over Python frameworks. We now have ~40 production Akka deployments that are AI-based. The large majority of use cases are AI inference and agentic resilience. Agents are unreliable: - complexity with agents, memory, orchestration, streaming, endpoints, APIs, tools, integration, stochastic LLMs ... all now running in a distributed system. - distrust from unreliable systems, limited agent security protocols, lack of agent identity, transparency and explainability of LLM interactions, inconsistent outputs, and new AI security threats. - shadow costs that extend beyond LLM fees as agentic systems require constant maintenance, integration with feedback loops, and continuous governance. Java and the JVM is well suited to overcoming these complexity, trust, and cost issues. It's why we have landed so many enterprise accounts that are deploying Akka within the enterprise. We see a rich future for all of the Java frameworks as they all are building upon unique approaches to solving these AI problems: #Koog from JetBrains #Embabel from Rod Johnson #SpringAI from Broadcom #Langchain4J from RedHat company and #Quarkus https://lnkd.in/gPvt-Sub

  • Akka reposted this

    I gave a keynote this afternoon AI By the Bay Conference in #Oakland. We were overwhelmed with activity, and it was good to reconnect with a number of old friends. It should have been Jonas Bonér giving this presentation, but he is in his lair, plotting and arranging our next set of products in agentic AI. Everyone is still learning and experimenting with Agentic AI. The agentic revolution is often discussed, but it's still in its earliest stages. My keynote slides are attached. The key message -- if you do not trust your AI then it will not go into production and it certainly won't stay there. With AI your risk expands to include systems risk and randomness risk. The solution? Agentic AI is how you infuse your app services with AI, but it's also a system that continuously builds trust. Human - and artificial - intelligence will never be perfect. Perfection is unachievable. But you can strive for perfection. Agentic AI systems embrace that imperfection, and once you do, you lay the foundation for trusting your AI.

  • Akka reposted this

    I'm speaking next week at QCon Software Development Conferences. Let's connect to discuss the latest in Agentic AI. I'm in #SanFrancisco on Monday and #Oakland on Tuesday + Wednsday. Key discussion points: - what does it mean to trust an agentic AI system - how do you measure trust and performance of AI - a reference architecture for emerging agentic systems - the barriers enterprises have preventing production AI - agentic registries, propagation, and agent mirroring - agent composition across vendor and network boundaries - agentic failover and high availability

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  • Akka reposted this

    What is an agentic system? Ask 20 vendors, and you will get 20 answers. At Akka, we've struggled to define exactly 'what' an agentic system is, as it is composed of so many things: models, agents, APIs, moving data, orchestration, memory, integration, semantic knowledge, and so on. Perhaps, then, it's easier to define an agentic system by its behaviors: 1. It is a system that infuses (unreliable) AI into your apps, and: 2. It is a system that continuously builds trust. Trust, though, is a thorny problem as it spans security, reliability, performance, user satisfaction, and the business. How do you trust a system that is based upon unreliable models? Akka, we are introducing a reference architecture for agentic systems - reliable systems that build trust while depending upon unreliable LLMs. There are many moving parts - animated - for your enjoyment. .. agents ... prompts .... structured data responses ... token-oriented object notation .. external and semantic data integration ... enrichment loops and MCP tools .... immutable tracing and OpenInference ... guardrails .. authenticated agent interactions ... compressed, injected, optimized agent memory .... sharded memory with cluster-based resilience ... AI asset registry and dynamic templates .. PII sanitizers ... orchestration, steps, workflow, retries, recovery .... adaptive, agent-based decisioning in orchestration ... control loops .. stream processing for adaptive and ambient AI ... event-driven feedback loops for improving agents .... evaluation and LLM-as-a-judge patterns ... APIs, endpoints, interrupts, and control flow .. MCP servers ... domain objects, knowledge base, and static typing for safety .... domain-integrated context engineering ... actor-based concurrency with location transparency .. zero-trust agent networks with fine-grained RBAC ... agent registry for policy, metrics and governance .... auditable agentic SBOM ... system clustering with resilience and scale out .. agentic regions for agent sovereignty, multi-region HA / DR ... AGNTCY for agent advertising, cards, and registration .... networks of cooperating agents with A2A and ACP ... AI gateway and proxies for intelligent agent routing .. agent composition with HITL patterns ... workflows that can make cost :: perf :: accuracy decisioning At Akka we are making this simple. Our Akka Agentic AI Platform makes it simple to get into production, we have a form of building continuous trust to keep you in production (indefinitely) safely, and then we scale cost effectively sometimes as much as 90% lower infrastructure costs vs. Python. Keep learning about Agentic AI, and when your AI has an SLA that matters, give us a call. We'll be there with you shoulder-to-shoulder.

  • View organization page for Akka

    18,033 followers

    Truth that stands the test of time, and technology innovation waves. #AI does not change this truth.

    “Without resilience, nothing else matters.” — Jonas Bonér Yesterdays critical AWS outage reminded us that no matter how advanced our tech stack or how skilled our team, resilience is the foundation. All the other investments—UI polish, new features, speed—fall flat when the system isn’t resilient. We acted swiftly to ensure our customers were affected as little as possible and restored stability in record time. Now, our focus shifts from reaction to reinforcement: Our focus now: • Architectural resilience – designing active-active systems, graceful degradation, separation of duties. • Operational resilience – runbooks, automation, failover drills, chaos experiments. • Observability & feedback loops – tracing, SLOs, system-impact metrics. • Cultural resilience – learning fast, transparent post-mortems, no-blame mindset. To our customers — thank you for your patience and trust. To our teams — thank you for your relentless dedication and professionalism. https://lnkd.in/dQ5RsuwN #ABB #Cloud #AWS #MultiRegion #AvailabilityZones #MultiCloud #Resilience #Reliability #SRE #EngineeringExcellence #Leadership

    Without Resilience, Nothing Else Matters by Jonas Bonér

    https://www.youtube.com/

  • Akka reposted this

    🚀🚀🚀🚀 Join us for a ❗️FREE 2-day hackathon (Nov 18 & 19) dedicated to building production-ready AI Agents that can accomplish something amazing in a business-to-business or business-to-consumer use case. You will need to make sure your agent is maintainable, scalable, and observable, and also secure by design, i.e., safe from agent-related attack vectors (prompt injection, data exfiltration, privilege escalation, broken access controls, etc). You will need to illustrate how your agent accomplishes these production-ready tasks while still providing access to business data and processes. Bonus points if you use tools to validate the production readiness of your agent. Mentors/Judges: James Ward, Josh Long, Oli Dinov, Vaibhav Gupta, Arun Gupta, Isaac Miller, Hugh McKee, Chandler Mayo RSVP in the comments 👇

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Funding

Akka 10 total rounds

Last Round

Series unknown

US$ 4.0M

See more info on crunchbase